34th week of 2022 patent applcation highlights part 56 |
Patent application number | Title | Published |
20220270296 | METHOD FOR PROCESSING IMAGE, MOBILE ROBOT AND METHOD FOR CONTROLLING MOBILE ROBOT - The present application discloses an image processing method, an image acquisition assembly, a mobile robot, and a control method and system thereof. The image processing method is used in an image acquisition assembly provided on a mobile robot. The image processing method includes: capturing an image frame sequence; based on the image frame sequence, sequentially outputting corresponding image frame for use in at least one functional mode of the mobile robot, wherein a frame rate of the output image frame for use in the same functional mode is set based on a frame rate requirement of each functional mode for image. The present application utilizes images with different frame rates provided by the image acquisition assembly to operate in multiple functional modes; and optimally configures image frame sequences provided by the image acquisition assembly to deal with contradictions with frame rate requirements for image data in different functional modes. | 2022-08-25 |
20220270297 | METHODS AND SYSTEMS FOR PREDICTING PRESSURE MAPS OF 3D OBJECTS FROM 2D PHOTOS USING DEEP LEARNING - Systems and methods for generating pressure maps of real-world objects using deep learning are disclosed. A structured 3D model of a real-world object is generated from a series of 2D photographs of the object, using a process which in some embodiments utilizes photogrammetry, a keypoint detection deep learning network (DLN), and retopology. In addition, object parameters of the object are received. A pressure map of the object is then generated by a pressure estimation deep learning network (DLN) based on the structured 3D model and the object parameters, where the pressure estimation DLN was trained on structured 3D models, object parameters, and pressure maps of a plurality of objects belonging to a given object category. The pressure map of the real-world object can be used in downstream processes, such as custom manufacturing. | 2022-08-25 |
20220270298 | HYPERSPECTRAL IMAGE COMPRESSION USING A FEATURE EXTRACTION MODEL - Disclosed are techniques for obtaining tensor data representing a hyperspectral image including a first portion depicting an object and a second portion depicting at least a portion of a surrounding environment where the object is located, identifying, by one or more computers, a portion of the tensor data representing the hyperspectral image that corresponds to the first portion of the hyperspectral image, providing, by the computers, the identified portion of the tensor data representing the hyperspectral image as an input to a feature extraction model; obtaining, by the computers, one or more matrix structures as output by the feature extraction model based on the feature extraction model processing the identified portion of the tensor data, the one or more matrix structures representing a subset of features extracted from the identified portion of the tensor data, and storing, by the computers, the one or more matrix structures in a memory device. | 2022-08-25 |
20220270299 | ENABLING SECURE VIDEO SHARING BY EXPLOITING DATA SPARSITY - In one example, the present disclosure describes a device, computer-readable medium, and method for enabling secure video sharing by exploiting data sparsity. In one example, the method includes applying a transformation to a video dataset containing a plurality of video samples, to produce a plurality of sparse vectors in a first dimensional space, wherein each sparse vector of the plurality of sparse vectors corresponds to one video sample of the plurality of video samples, and multiplying each sparse vector of the plurality of sparse vectors by a transformation matrix to produce a plurality of reduced vectors in a second dimensional space, wherein the dimension of the second dimensional space is smaller than a dimension of the first dimensional space, and wherein the plurality of reduced vectors in the second dimensional space hides information about the video dataset while preserving relational properties between the plurality of video samples. | 2022-08-25 |
20220270300 | PROCEDURE INFORMATION SHARING AND PERFORMANCE USING MIXED AND AUGMENTED REALITY - The technical description relates to mixed reality, augmented reality, and their use in the sharing of information about a procedure and in the performing of a procedure. A method for sharing information about a procedure and performing the procedure includes using a mixed reality system in a first location to display a mixed reality image having a virtual element representing information related to the procedure, instructing an information recipient to use an augmented reality system to view the virtual element, interacting with the virtual element to create a transformed virtual element, and manipulating a physical element in a second location while performing the procedure. Specific examples described herein relate to the field of medicine, and to orthopedics in particular. | 2022-08-25 |
20220270301 | IMAGE INTEGRATING METHOD AND SYSTEM - An image integrating method performed in a computer system includes an image storing operation in which at least one processor included in the computer system stores a first image of a first object and a second image of a second object, an object characteristic information generating operation in which the at least one processor generates first object characteristic information and second object characteristic information regarding at least one of information on an appearance and an outer surface of the respective objects from the first image and the second image, an indicator calculating operation in which the at least one processor calculates a probability indicator that the first object and the second object are the same object by comparing the first object characteristic information with the second object characteristic information, and an image integrating operation in which the at least one processor integrates the first image and the second image to an image for the same object and stores the integrated image when the probability indicator is equal to or greater than a reference value. | 2022-08-25 |
20220270302 | CONTENT DISTRIBUTION SYSTEM, CONTENT DISTRIBUTION METHOD, AND CONTENT DISTRIBUTION PROGRAM - Content distribution systems for displaying a virtual space to user terminals, content distribution methods executed by a content distribution system including at least one processor, and non-transitory computer-readable media storing a content distribution program are disclosed. An example system according to the disclosure includes at least one processor that detects when an avatar corresponding to a first user performs a predetermined action in a virtual space, and displays a content image of the virtual space on a user terminal of a second user among the plurality of user terminals. The predetermined action is invisible in the content image when the processor detects that the avatar performs the predetermined action. | 2022-08-25 |
20220270303 | SYSTEM AND METHOD FOR MIXED REALITY - A mixed reality system, comprising: a data acquisition device configured to acquire real-world data; an output device for providing the real-world data to a user; and a processing circuitry configured to: obtain (a) data acquired by the data acquisition device, and (b) information of one or more virtual entities having properties enabling determination of simulated effects of the virtual entities on the data; determine the simulated effects of the virtual entities on the data utilizing the properties; and provide the user with output on the output device being a manipulation of the data reflecting the simulated effects. | 2022-08-25 |
20220270304 | PLAUSIBLE DAYSCALE TIMELAPSE GENERATION METHOD AND COMPUTING DEVICE - The disclosure relates to a field of plausible timelapse image(s) generation from a single image. A method of generating one or more images of a plausible dayscale timelapse sequence based on a content image using a trained generative neural network and a trained merging neural network is provided. The method includes receiving the content image and one of one or more predefined styles respectively corresponding to times of day to be applied to the content image or style images having styles to be applied to the content image, slicing the content image into n image crops, applying the trained generative neural network with each style to n image crops to obtain n image crops re-stylized according to each style, and merging the re-stylized n image crops for each style with the trained merging neural network to obtain images of a plausible dayscale timelapse sequence for the content image. | 2022-08-25 |
20220270305 | IMAGE COLORING APPARATUS, IMAGE COLORING METHOD, IMAGE LEARNING APPARATUS, IMAGE LEARNING METHOD, COMPUTER PROGRAM, AND IMAGE COLORING SYSTEM - [Problem] To highly accurately color a target image based on information such as morphological features and shapes in the target image. | 2022-08-25 |
20220270306 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, PROGRAM, AND RADIOGRAPHY SYSTEM - The information processing device includes a processor. The processor performs: a reconstruction process of reconstructing a plurality of tomographic images from a plurality of projection images obtained by tomosynthesis imaging that irradiates an object with radiation from a radiation source at a plurality of radiation source positions; a synthesis process of synthesizing the plurality of tomographic images to generate a synthesized two-dimensional image as a projection image based on a virtual radiation source position; an anatomical structure extraction process of extracting anatomical structures from a projection image corresponding to a radiation source position closest to the virtual radiation source position among the plurality of radiation source positions; and a display process of displaying an extraction result of the anatomical structures on a display device together with the synthesized two-dimensional image. | 2022-08-25 |
20220270307 | Rasterising Aliased Lines - A method of rasterising a line in computer graphics determines whether the line's start and/or end is inside a diamond test area within the pixel. If the end is not inside and the start is inside, the pixel is drawn as part of the line. If neither the start nor the end of the line are inside, it is determined whether the line crosses more than one extended diamond edge and if so, it is further determined (i) whether an extended line passing through the start and end is substantially vertical and touches the right point of the diamond area, (ii) if the extended line touches the bottom point of the diamond area, and (iii) whether the extended line is on a same side of each point of the diamond area. If any of (i), (ii) and (iii) is positive, the pixel is drawn as part of the line. | 2022-08-25 |
20220270308 | SYSTEMS AND METHODS FOR TIMELINE VISUALIZATION - Systems and methods of timeline visualization that define a table structure which represents supply chain management actions in a generic way. The content of the table is then processed by the timeline visualization to extract the entities, events, their relationships, and their attributes. These entities are transformed into time axes, while the events are transformed into a visual representation of their attributes using color, shapes, and text labels. The events may be positioned on a canvas, above or below a timeline axis, depending on whether they are upstream or downstream events, using a layout module which determines the position on the x-axis (time) and y-axis. | 2022-08-25 |
20220270309 | Methods and Systems for Ground Segmentation Using Graph-Cuts - Systems and methods for segmenting scan data are disclosed. The methods include creating a graph from scan data representing a plurality of points in an environment associated with a ground and one or more objects, where the graph includes a plurality of vertices corresponding to the plurality of points in the environment, a first terminal vertex associated with the ground label, and a second terminal vertex associated with the non-ground label. A unary potential being the cost of assigning a vertex to a ground label or a non-ground label is assigned to each vertex, and a pairwise potential is assigned to each pair of neighboring vertices in the graph as a measure of a cost of assigning different labels. The methods include using the unary the pairwise potentials to identify labels for each point and segmenting the scan data to identify points associated with the ground. | 2022-08-25 |
20220270310 | WEB-BASED DIGITAL IMAGE EDITING IN REAL TIME UTILIZING A LATENT VECTOR STREAM RENDERER AND AN IMAGE MODIFICATION NEURAL NETWORK - The present disclosure describes systems, methods, and non-transitory computer readable media for detecting user interactions to edit a digital image from a client device and modify the digital image for the client device by using a web-based intermediary that modifies a latent vector of the digital image and an image modification neural network to generate a modified digital image from the modified latent vector. In response to user interaction to modify a digital image, for instance, the disclosed systems modify a latent vector extracted from the digital image to reflect the requested modification. The disclosed systems further use a latent vector stream renderer (as an intermediary device) to generate an image delta that indicates a difference between the digital image and the modified digital image. The disclosed systems then provide the image delta as part of a digital stream to a client device to quickly render the modified digital image. | 2022-08-25 |
20220270311 | TEXT-IMAGE-LAYOUT TRANSFORMER [TILT] - Disclosed herein is a system and method for Natural Language Processing (NLP) of real world documents. the system and method combines various models not previously combined and overcomes the challenges of this combination. Models include an encoder-decoder model, a spatial model, and a multi-modal model. | 2022-08-25 |
20220270312 | PERSPECTIVE CORRECT VECTOR GRAPHICS RENDERING TECHNIQUES - Various implementations disclosed herein include devices, systems, and methods that render perspective correct 2D graphics (e.g., virtual objects, text, graphics) correctly at any angle and distance in an electronic device such as an HMD. In some implementations, a vector graphic including portions defined on a 2D canvas is obtained and the 2D canvas is divided into separate regions, each region containing a plurality of pixels. In some implementations, data based on associating a plurality of the regions of the 2D canvas with the portions of the vector graphic is generated, the data identifying one or more contributing portions of the portions of the vector graphic to use in rendering the pixels in each of the plurality of regions of the 2D canvas. In some implementations, the data is provided to a processor for rendering the vector graphic. | 2022-08-25 |
20220270313 | IMAGE PROCESSING METHOD, ELECTRONIC DEVICE AND STORAGE MEDIUM - The present disclosure relates to an image processing method and apparatus, an electronic device and a storage medium. The method includes: in response to a makeup operation on a facial image to be processed, generating, based on a selected first target material, a second target material matching a target part in the facial image to be processed; determining, based on the second target material, an image area in the facial image to be processed where the target part is located; and performing, based on a color of the second target material, a color fusion treatment on the image area where the target part is located, to obtain a fused facial image. | 2022-08-25 |
20220270314 | ROBUST FACIAL ANIMATION FROM VIDEO USING NEURAL NETWORKS - Implementations described herein relate to methods, systems, and computer-readable media to generate animations for a 3D avatar from input video captured at a client device. A camera may capture video of a face while a trained face detection model and a trained regression model output a set of FACS weights, head poses, and facial landmarks to be translated into the animations of the 3D avatar. Additionally, a higher level-of-detail may be intelligently selected based upon user preferences and/or computing conditions at the client device. | 2022-08-25 |
20220270315 | SYSTEMS CONFIGURED TO CONTROL DIGITAL CHARACTERS UTILIZING REAL-TIME FACIAL AND/OR BODY MOTION CAPTURE AND METHODS OF USE THEREOF - In some embodiments, the present disclosure provides an exemplary technically improved system and method for controlling the body movements and facial expressions of a digital character in real time by using: a body-motion capture system comprising a headset configured to be worn on a head of a user and comprising controllers and sensors that can be used to track at least one head or body motion of the user (including arms and hands); and correspondingly control at least one head or body motion (including arms and hands) of a digital character in real time based, at least in part, on the captured motion data; a mobile computing device configured to track and capture facial expression data relating to at least one facial expression of the user, and use at least that data to correspondingly control at least one facial expression of the digital character in real time; a microphone configured to capture an audio output of the user, and control an audio output of the digital character in real-time based, at least in part, on the captured audio output; an integration computing device configured to integrate the audio output, the motion data and the facial expression data to control the audio output, the motion, and the facial expression of the digital character; a vest configured to be worn on an body of the user and a structural member attached to the vest and configured to hold the mobile computing device at a predetermined distance from a face of the user so that the mobile computing device can track and capture the at least one facial expression of the user. | 2022-08-25 |
20220270316 | AVATAR CUSTOMIZATION FOR OPTIMAL GAZE DISCRIMINATION - Examples of systems and methods for rendering an avatar in a mixed reality environment are disclosed. The systems and methods may be configured to automatically select avatar characteristics that optimize gaze perception by the user, based on context parameters associated with the virtual environment. | 2022-08-25 |
20220270317 | GRAPHICS SYSTEM WITH ADDITIONAL CONTEXT - An embodiment of an electronic processing system may include an application processor, persistent storage media communicatively coupled to the application processor, and a graphics subsystem communicatively coupled to the application processor. The graphics subsystem may include a first graphics engine to process a graphics workload, and a second graphics engine to offload at least a portion of the graphics workload from the first graphics engine. The second graphics engine may include a low precision compute engine. The system may further include a wearable display housing the second graphics engine. Other embodiments are disclosed and claimed. | 2022-08-25 |
20220270318 | THREE-DIMENSIONAL OBJECT RECONSTRUCTION FROM A VIDEO - A three-dimensional (3D) object reconstruction neural network system learns to predict a 3D shape representation of an object from a video that includes the object. The 3D reconstruction technique may be used for content creation, such as generation of 3D characters for games, movies, and 3D printing. When 3D characters are generated from video, the content may also include motion of the character, as predicted based on the video. The 3D object construction technique exploits temporal consistency to reconstruct a dynamic 3D representation of the object from an unlabeled video. Specifically, an object in a video has a consistent shape and consistent texture across multiple frames. Texture, base shape, and part correspondence invariance constraints may be applied to fine-tune the neural network system. The reconstruction technique generalizes well—particularly for non-rigid objects. | 2022-08-25 |
20220270319 | APPARATUS AND METHOD FOR REDUCED PRECISION BOUNDING VOLUME HIERARCHY CONSTRUCTION - Apparatus and method for efficient BVH construction. For example, one embodiment of an apparatus comprises: a memory to store graphics data for a scene including a plurality of primitives in a scene at a first precision; a geometry quantizer to read vertices of the primitives at the first precision and to adaptively quantize the vertices of the primitives to a second precision associated with a first local coordinate grid of a first BVH node positioned within a global coordinate grid, the second precision lower than the first precision; a BVH builder to determine coordinates of child nodes of the first BVH node by performing non-spatial-split binning or spatial-split binning for the first BVH node using primitives associated with the first BVH node, the BVH builder to determine final coordinates for the child nodes based, at least in part, on an evaluation of surface areas of different bounding boxes generated for each of the child node. | 2022-08-25 |
20220270320 | POST-TESSELLATION BLENDING IN A GPU PIPELINE - Implementations of blender hardware perform both domain shading and blending and whilst some vertices may not require blending, all vertices require domain shading. The blender hardware includes a cache and/or a content addressable memory and these data structures are used to reduce duplicate domain shading operations. | 2022-08-25 |
20220270321 | Image Processing for Generating Three-Dimensional Shape and Spatially-Varying Reflectance of the Object using a Deep Neural Network - A method of image processing is described. The method comprises receiving a set of at least three images of an object including at least two linearly-polarized images and at least one color image, wherein the three images have the same view of the object and are acquired under the same illumination condition in which either diffuse polarization or specular polarization dominates in surface reflectance, and wherein a set of Stokes parameters s | 2022-08-25 |
20220270322 | SYSTEM AND METHOD FOR SHADOW ESTIMATION IN A VIRTUAL VISOR - A system of a virtual visor includes one or more sensors configured to receive input data including images, wherein the one or more sensors includes at least a camera utilized in the virtual visor, a processor in communication with the one or more sensors. The processor is programmed to create a training dataset utilizing at least the input data, utilizing the training dataset, create a classification associated with a shadow mask region and a first face region associated with a first face, segment the shadow mask region and the first face region from the training data set, and output a shadow representation via the virtual visor and utilizing the shadow mask region, the first face region, and a second face region associated with a second face. | 2022-08-25 |
20220270323 | Computer Vision Systems and Methods for Supplying Missing Point Data in Point Clouds Derived from Stereoscopic Image Pairs - Computer vision systems and methods for supplying missing point data in point clouds derived from stereoscopic image pairs are provided. The system retrieves the at least one stereoscopic image pair from the memory based on a received geospatial region of interest, and processes the at least one stereoscopic image pair to generate a disparity map from the at least one stereoscopic image pair. The system then processes the disparity map to generate a depth map from the disparity map. The depth map is then processed to generate a point cloud from the depth map, such that the point cloud lacks any missing point data. Finally, the point cloud is stored for future use. | 2022-08-25 |
20220270324 | SYSTEMS AND METHODS FOR GENERATING A MODEL OF A CHARACTER FROM ONE OR MORE IMAGES - A method, computer-readable storage medium, and device for generating a character model. The method comprises: receiving an input image of a reference subject; processing the input image to generate a normalized image; identifying a set of features present in the normalized image, wherein each feature in the set of features corresponds to a portion of a head or body of the reference subject; for each feature in the set of features, processing at least a portion of the normalized image including the feature by a neural network model corresponding to the feature to generate a parameter vector corresponding to the feature; and combining the parameter vectors output by respective neural network models corresponding to respective features in the set of features to generate a parameterized character model corresponding to reference subject in the input image. | 2022-08-25 |
20220270325 | Tessellation Hardware Subdivision of Patches Into Sub-Patches - Hardware tessellation units include a sub-division logic block that comprises hardware logic arranged to perform a sub-division of a patch into two (or more) sub-patches. The hardware tessellation units also include a decision logic block that is configured to determine whether a patch is to be sub-divided or not and one or more hardware elements that control the order in which tessellation occurs. In various examples, this hardware element is a patch stack that operates a first-in-last-out scheme and in other examples, there are one or more selection logic blocks that are configured to receive patch data for more than one patch or sub-patch and output the patch data for a selected one of the received patches or sub-patches. | 2022-08-25 |
20220270326 | AUTOMATED PROCESSING FOR DETERMINATION OF A VOLUME OF AN OBJECT IN A DIGITAL ENVIRONMENT - The present disclosure introduces automated and repeatable processing for determining and managing volumes of objects within a digital environment. In one non-limiting example, processing of the present disclosure automatically generates volumes of static objects from associated meshes within a gaming environment. However, the present disclosure is applicable to determine a volume of any type of object within any type of digital content. From an original mesh of an object, a low-frequency volumetric mesh (reduced mesh) is automatically generated. A volume of an object may be automatically determined from analysis of the reduced mesh. Volumetric data is then be integrated within digital content for a variety of applicable use cases. For example, a reduced data set is created to approximate light sources relative to the interior of a static object (e.g., building) within a digital environment, enabling developers to create more realistic representations of lighting within that static object (e.g., building). | 2022-08-25 |
20220270327 | SYSTEMS AND METHODS FOR BOUNDING BOX PROPOSAL GENERATION - Systems, methods, and other embodiments described herein relate to generating bounding box proposals. In one embodiment, a method includes generating blended 2-dimensional (2D) data based on 2D data and 3-dimensional (3D) data, and generating blended 3D data based on the 2D data and the 3D data. The method includes generating 2D features based on the 2D data and the blended 2D data, generating 3D features based on the 3D data and the blended 3D data, and generating the bounding box proposals based on the 2D features and the 3D features. | 2022-08-25 |
20220270328 | DRIVE ASSIST APPARATUS, DRIVE ASSIST METHOD, AND DRIVE ASSIST SYSTEM - A drive assist apparatus includes a storage unit that stores a three-dimensional model indicating a moving region, an input unit that receives, from a sensor group installed in the moving region, first height information indicating a first height which is a height of the mobile object and second height information indicating a second height which is a height of an object that satisfies a predetermined distance criterion from the mobile object, an extraction unit that extracts, from the three-dimensional model, a first plan view based on the first height information and a second plan view based on the second height information, a generation unit that generates a combined map for two-dimensionally showing the moving region and assisting the driving of the mobile object by combining the first plan view and the second plan view, and an output unit that transmits a generated combined map to the mobile object. | 2022-08-25 |
20220270329 | VISUALISATION ASSEMBLY - A visualisation assembly including a three-dimensional physical projection object and an electronic visualisation device has: a camera for optically capturing the physical projection object; electronics having data-processing software by means of which image data can be generated from the optical capturing of the physical projection object and a rendered VR model can be generated on the basis of the image data created and the stored model data; and a display apparatus, on which the physical projection object superimposed with the rendered VR model can be displayed. The physical projection object forms a relief. | 2022-08-25 |
20220270330 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND PROGRAM - There is provided an information processing device, an information processing method, and a program capable of appropriately displaying an object in a virtual space. Included is a setting unit that sets an initial position at which an object is initially displayed on a display unit on the basis of presentation position information regarding a presentation position to be presented in a virtual three-dimensional space of the object superimposed and displayed on a real world, size information regarding a size of the object, and field of view area information regarding a field of view area of the display unit that displays the object, in which the setting unit sets the initial position on a deeper side in a depth direction than a position represented by the presentation position information in a coordinate system based on the real world. The present technology can be applied to, for example, an information processing device that provides augmented reality (AR). | 2022-08-25 |
20220270331 | XR Preferred Movement Along Planes - Presenting a virtual object includes obtaining, by a first device, a first geometric representation and a second geometric representation corresponding to a physical surface in a real environment, determining an initialization location on the first physical surface for a virtual object, obtaining a first normal for the first representation and a second normal for the second representation at the initialization location, and rendering the virtual object at the initialization location based on the first normal and the second normal. | 2022-08-25 |
20220270332 | FACE ANIMATION SYNTHESIS - A methodology for training a machine learning model to generate color-neutral input face images is described. For each training face image from a training dataset that is used for training the model, the training system generates an input face image, which has the color and lighting of a randomly selected image from the set of color source images, and which has facial features and expression of a face object from the training face image. Because, during training, the machine learning model is “confused” by changing the color and lighting of a training face image to a randomly selected different color and lighting, the trained machine learning model generates a color neutral embedding representing facial features from the training face image. | 2022-08-25 |
20220270333 | METHOD AND SYSTEM FOR DISPLAY OF AN ELECTRONIC REPRESENTATION OF PHYSICAL EFFECTS AND PROPERTY DAMAGE RESULTING FROM A PARAMETRIC NATURAL DISASTER EVENT - A method is provided for displaying an augmented reality (AR) representation of physical effects and property damage resulting from a parametric earthquake event. The method includes scanning, using one or more sensors of a user device, a scene in proximity to a user. The method also includes identifying a background and objects in the scene. The method further includes creating an AR background for the background of the scene and AR objects for the objects in the scene. In addition, the method includes receiving at least one seismic characteristic from the user through the display of the user device. The method additionally includes displaying at least one seismic effect on the AR objects and the AR background in the scene based on the at least one received seismic characteristic. | 2022-08-25 |
20220270334 | METHOD FOR DETERMINING DISPLAY FEATURES OF AN AUGMENTED REALITY ELEMENT - The present invention relates to a method for determining display features of an augmented reality element, the method comprising the steps of receiving an image depicting a visual marker on a support surface, obtaining correspondence data between the augmented reality element and the visual marker, calculating the distance and a viewing angle relative to the visual marker and the user, correcting the viewing angle calculated as a function of features relating to a support plane containing the support surface, to obtain a corrected viewing angle, and determining display features of the augmented reality element based on the correspondence data, a rotation of the visual marker relative to a reference, the calculated distance and the corrected viewing angle. | 2022-08-25 |
20220270335 | COMPUTATIONALLY EFFICIENT MODEL SELECTION - In various implementations, a device surveys a scene and presents, within the scene, a extended reality (XR) environment including one or more assets that evolve over time (e.g., change location or age). Modeling such an XR environment at various timescales can be computationally intensive, particularly when modeling the XR environment over larger timescales. Accordingly, in various implementations, different models are used to determine the environment state of the XR environment when presenting the XR environment at different timescales. | 2022-08-25 |
20220270336 | APPARATUS AND OPERATING METHOD FOR DISPLAYING AUGMENTED REALITY OBJECT - A display apparatus and an operating method thereof obtain at least one first sensor data of a first point in time, receive a first image frame including a first augmented reality (AR) object corresponding to the first point in time, the first AR object generated by a first processor, based on the first sensor data, obtain second sensor data of a second point in time subsequent to the first point in time, correct the first AR object to a second AR object matched to the second point in time, based on the second sensor data, and display a second image frame including the second AR object. | 2022-08-25 |
20220270337 | THREE-DIMENSIONAL (3D) HUMAN MODELING UNDER SPECIFIC BODY-FITTING OF CLOTHES - An electronic device and method for 3D human modeling under a specific body-fitting of clothes is disclosed. A set of depth images of a person wearing clothes is acquired and an initial body model is generated based on a first shape-fitting of a human body prior with at least a first depth scan. A posed-body model is obtained based on a pose-fitting of the initial body model with at least one depth scan. In each depth scan, clothed scan points and unclothed scan points are determined. A final body model is determined based on a second shape-fitting of vertices which belong to the posed-body model and correspond to an under-cloth skin portion of the body of the person. The second shape-fitting is based on the clothed scan points and the unclothed scan points. The final body model is textured based on a skin texture map for the body. | 2022-08-25 |
20220270338 | DIGITAL IMAGE CAPTURE AND FITTING METHODS AND SYSTEMS - A system and method for generating a proportionately scaled three dimensional model of a user, having an article of clothing fitted is disclosed herein. In some embodiments, the method comprises, receiving a plurality of images displaying a body of said user, using said plurality of images to generate one or more measurements of one or more portions of said body of said user, using said one or more measurements to generate said proportionately scaled three dimensional model of said body of said user, fitting said article of clothing to said proportionately scaled three dimensional model of said body of said user; and providing said proportionately scaled three dimensional model having said article of clothing fitted thereon for display on a user interface of an electronic device of said user. | 2022-08-25 |
20220270339 | ARRANGEMENT AND METHOD FOR PROVISION OF ENHANCED TWO-DIMENSIONAL IMAGING DATA - An arrangement for provision of enhanced two-dimensional digital imaging data, the arrangement comprising at least one processor that is configured to obtain three-dimensional digital imaging data indicative of at least one physical feature, determine, based on said three-dimensional digital imaging data, data representing a three-dimensional model of at least one element that is partitioned from the three-dimensional digital imaging data, said element comprising at least one of said physical features, select one or more elements as redundant elements, and provide enhanced two-dimensional digital imaging data indicative of the at least one physical feature with the one or more redundant elements being essentially omitted from the two-dimensional imaging data based at least on the data representing a three-dimensional model of the at least one element and the selected redundant elements. | 2022-08-25 |
20220270340 | INTRAORAL SCANNING USING A PRE-EXISTING MODEL - An intraoral scanner system includes an intraoral scanner having an imaging device and a sensing face, and a computing device, communicatively coupled to the intraoral scanner. The computing device receives a first intraoral images of a three-dimensional intraoral object of a patient generated by the intraoral scanner corresponding to an intraoral scanning of the three-dimensional intraoral object of the patient. The computing device registers a first intraoral image of the first intraoral images relative to a second intraoral image of the first intraoral images using a model of the three-dimensional intraoral object that existed prior to the intraoral scanning. | 2022-08-25 |
20220270341 | METHOD AND DEVICE OF INPUTTING ANNOTATION OF OBJECT BOUNDARY INFORMATION - The present invention relates to a method and a device of inputting annotation of object boundary information, and more particularly, to a method and a device of inputting annotation of object boundary information such that workers or the like efficiently and accurately input object boundary information in a service such as crowding sourcing, and preliminary work is assisted by an artificial neural network-based algorithm. | 2022-08-25 |
20220270342 | ELECTRONIC APPARATUS AND CONTROL METHOD OF THE SAME - An electronic apparatus a determining unit configured to determine a target object that a user is paying attention to, a detecting unit configured to detect a plurality of types of detection information on the target object, a referring unit configured to refer to reference information associated with the target object, a presenting unit configured to present at least one of the plurality of types of detection information, and a control unit configured to determine the at least one of the plurality of types of detection information presented by the presenting unit, based on the reference information and the plurality of types of detection information. | 2022-08-25 |
20220270343 | VIDEO IMAGE PROCESSING METHOD AND APPARATUS - Embodiments of this application disclose a video image processing method and apparatus. A specific solution is as follows: obtaining identity information and location information of each subject in an i | 2022-08-25 |
20220270344 | MULTIMODAL DIAGNOSIS SYSTEM, METHOD AND APPARATUS - A system and method of combining different sensor data for higher reliable diagnosis information on a portable mobile device includes using a camera for imaging a region of interest of a subject to obtain an image signal, a microphone for capturing acoustic information from the subject, and one or more processors. The one or more processors can be configured to spectrally analyze the image signal, estimate a first vital-sign of the subject corresponding to a diagnosis using the image signal, analyze the acoustic information, estimate a second vital-sign of the subject corresponding to the diagnosis using the acoustic information, and combine the first vital sign with the second vital-sign to provide a higher confidence level diagnostic of the diagnosis. | 2022-08-25 |
20220270345 | SUBJECT DETECTION METHOD AND APPARATUS, ELECTRONIC DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM - A subject detection method is disclosed. A moving object is detected on an image to obtain a moving object region, candidate regions are obtained by sliding a sliding box on the image, a first region is determined. The first region is one of candidate regions and contains a part of the moving object region with a largest area. A proportion of the first region is obtained, a size of the first region is adjusted based on the proportion to obtain a second region, a proportion of the second region is obtained. The first region is replaced with the second region, the proportion of the first region is replaced with the proportion of the second region, and it is returned to adjusting the size of the first region until a number of iterative adjustments reaches a threshold, a region obtained by the last adjustment is determined as a target region. | 2022-08-25 |
20220270346 | IMAGE PROCESSING USING SELF-ATTENTION - An image processing device for identifying one or more characteristics of an input image, the device including a processor configured to: receive the input image, the input image extending along a first axis and a second axis; form a series of attribute maps based on the received input image; perform a first correlation operation by identifying regions in respect of which the patterns of multiple ones of the series of attribute maps are correlated, and forming a first output in dependence on that operation; perform a second correlation operation for identifying combinations of (i) attributes and (ii) portions of the image having common location in terms of the first axis, and forming a second output in dependence on that operation; and form a representation of the one or more characteristics of the input image in dependence on at least the first output and the second output. | 2022-08-25 |
20220270347 | IMAGE PROCESSING DEVICE, IMAGE PROCESSING METHOD, AND PROGRAM - An image processing device comprises pixel group setting part that sets plurality of pixel groups including first and second pixel groups, which are not connected to each other, based on image data of first image which shows target object including linear portion; pair setting part that performs setting pair of first and second pixel groups including pixel within predetermined range from first pixel group to calculate connecting degree of second pixel group with respect to first pixel group; and calculation part that calculates connecting degree of pair, wherein predetermined range is search range set based on first distance between first and second pixel groups, or search range set on based on first angle formed between first line segment corresponding to first pixel group and second line segment corresponding to second pixel group, and calculation part calculates first distance or first angle using first distance or first angle. | 2022-08-25 |
20220270348 | FACE RECOGNITION METHOD AND APPARATUS, COMPUTER DEVICE, AND STORAGE MEDIUM - A face recognition method includes: obtaining a first feature image that describes a face feature of a target face image and a first feature vector corresponding to the first feature image; obtaining a first feature value that represents a degree of difference between a face feature in the first feature image and that in the target face image; obtaining a similarity between the target face image and a template face image according to the first feature vector, the first feature value, and a second feature vector and a second feature value corresponding to a second feature image of the template face image, the second feature value describing a degree of difference between a face feature in the second feature image and that in the template face image; and determining, when the similarity is greater than a preset threshold, that the target face image matches the template face image. | 2022-08-25 |
20220270349 | INFORMATION PROCESSING APPARATUS, INFORMATION PROCESSING METHOD, AND PROGRAM - An information processing apparatus acquires a stereo image, performs matching of feature points of a first number smaller than the number of pixels in a first image to estimate three-dimensional positions of the feature points with respect to a stereo camera, sets the feature point determined to be acquired from a space set in a field of view of an imaging unit as a target point, sets surrounding points of a second number greater than the number of the feature points for which the three-dimensional positions are estimated in an image area within a predetermined distance range from the target point in the first image, and determines whether the target point is the feature point indicating a feature of an object existing in the space based on differences between the three-dimensional positions of the surrounding points and the target point with respect to the stereo camera. | 2022-08-25 |
20220270350 | AUTOMATIC HANDBAG RECOGNITION USING VIEW-DEPENDENT CNNs - A system and related methods for identifying characteristics of handbags is described. One method includes receiving one or more images of a handbag, eliminating all but select images from the one or more images of the handbag to obtain a grouping of one or more select images, the select images being those embodying a complete periphery and frontal view of the handbag. For each of the one or more select images, aligning feature-corresponding pixels with an image axis, comparing at least a portion of the one or more select images with a plurality of stored images, and determining characteristics of the handbag based on said comparing. | 2022-08-25 |
20220270351 | IMAGE RECOGNITION EVALUATION PROGRAM, IMAGE RECOGNITION EVALUATION METHOD, EVALUATION APPARATUS, AND EVALUATION SYSTEM - An image recognition evaluation program is executed by an evaluation apparatus for evaluating recognition accuracy of an image recognition apparatus performing image segmentation. The evaluation apparatus is caused to perform image processing on an input image to be input to the image recognition apparatus, and generate a plurality of processed input images. Thereafter, the evaluation apparatus is caused to input the generated plurality of processed input images to the image recognition apparatus, and obtain a plurality of output images classified into classes by image segmentation being performed by the image recognition apparatus. Next, the evaluation apparatus is caused to calculate a variance value of each of the plurality of the output images, based on the obtained plurality of output images. | 2022-08-25 |
20220270352 | METHODS, APPARATUSES, DEVICES, STORAGE MEDIA AND PROGRAM PRODUCTS FOR DETERMINING PERFORMANCE PARAMETERS - Methods, apparatuses, devices, storage media and program products for determining parameters of a neural network are provided. In one aspect, a computer-implemented method includes: acquiring a first dataset that includes a plurality of face images, obtaining a liveness classification result and a detection result of each of the plurality of face images by inputting the face image into the neural network, and determining performance parameters of the neural network according to a plurality of detection results of the plurality of face images. | 2022-08-25 |
20220270353 | DATA AUGMENTATION BASED ON ATTENTION - Implementations of the present disclosure relate to methods, devices, and computer program products for data augmentation. In the method, mixed data is generated from first data and second data, and the mixed data comprises a first portion from the first data and a second portion from the second data. An attention map is obtained for the mixed data based on distributions of the first and second portions in the mixed data, here the attention map describes contributions of the first and second data to the mixed data. A label is determined for the mixed data based on the attention map and a first label for the first data and a second label for the second data. With these implementations, the label is determined based on the contributions of the first and second images in an accurate and effective way, and thus has a value that is much closer to the ground true. | 2022-08-25 |
20220270354 | MONOCULAR IMAGE-BASED MODEL TRAINING METHOD AND APPARATUS, AND DATA PROCESSING DEVICE - Provided are a monocular image-based model training method and apparatus, and a data processing device. The method includes: first obtaining a first training image and a second training image acquired at different time points by a monocular image acquisition apparatus; then obtaining a first optical flow prediction result from the first training image to the second training image according to a photometric loss between the first training image and the second training image; and taking the first optical flow prediction result as an agent label, and performing optical flow prediction training by using the first training image and the second training image. | 2022-08-25 |
20220270355 | DISTRIBUTED LEARNING METHOD, SERVER AND APPLICATION USING IDENTIFICATION CARD RECOGNITION MODEL, AND IDENTIFICATION CARD RECOGNITION METHOD USING THE SAME - A distributed learning method of a server managing an ID card recognition model includes releasing an ID card recognition model performing at least one convolution operation on an ID card image captured in a user terminal so that the user terminal uses the ID card recognition model, receiving update information of the ID card recognition model generated according to an ID card recognition result of the released ID card recognition model, and verifying the update information received from the user terminal and updating the ID card recognition model using the verified update information. | 2022-08-25 |
20220270356 | PLATFORM FOR PERCEPTION SYSTEM DEVELOPMENT FOR AUTOMATED DRIVING SYSTEM - The present invention relates to methods and systems that utilize the production vehicles to develop new perception features related to new sensor hardware as well as new algorithms for existing sensors by using federated learning. To achieve this, the production vehicle's own worldview is post-processed and used as a reference, towards which the output of the software (SW) or hardware (HW) under development is compared. In case of a large discrepancy between the baseline worldview and perceived worldview by the module-under-test, the data is weakly annotated by the baseline worldview. Such weakly annotated data may subsequently be used to update the SW parameters of the “perception model” in the module-under-test in each individual vehicle, or to be transmitted to the “back-office” for off-board processing or more accurate annotations. | 2022-08-25 |
20220270357 | SYSTEMS, METHODS, AND APPARATUSES FOR IMPLEMENTING MEDICAL IMAGE SEGMENTATION USING INTERACTIVE REFINEMENT - Described herein are means for implementing medical image segmentation using interactive refinement, in which the trained deep models are then utilized for the processing of medical imaging. For instance, an exemplary system is specially configured for operating a two-step deep learning training framework including means for receiving original input images at the deep learning training framework; means for generating an initial prediction image specifying image segmentation by processing the original input images through the base segmentation model to render the initial prediction image in the absence of user input guidance signals; means for receiving user input guidance signals indicating user-guided segmentation refinements to the initial prediction image; means for routing each of (i) the original input images, (ii) the initial prediction image, and (iii) the user input guidance signals to an InterCNN; means for generating a refined prediction image specifying refined image segmentation by processing each of the (i) the original input images, (ii) the initial prediction image, and (iii) the user input guidance signals through the InterCNN to render the refined prediction image incorporating the user input guidance signals; and means for outputting a refined segmentation mask based on application of the user input guidance signals to the deep learning training framework as a guidance signal. Other related embodiments are disclosed. | 2022-08-25 |
20220270358 | VEHICULAR SENSOR SYSTEM CALIBRATION - The present disclosure provides devices, systems and methods for a vehicular sensor system that detects and classifies objects, and further determining a vanishing point and aspect ratios, which enable detecting a misalignment of a lens focus and determining quality metrics; and calibrating the sensor system. | 2022-08-25 |
20220270359 | IMAGE PARAGRAPH DESCRIPTION GENERATING METHOD AND APPARATUS, MEDIUM AND ELECTRONIC DEVICE - An image paragraph description generating method and apparatus, a medium and an electronic device. The method comprises: obtaining image features of an image (S | 2022-08-25 |
20220270360 | METHOD AND APPARATUS FOR AUTHENTICATION OF A THREE-DIMENSIONAL OBJECT - A device for authentication of a three-dimensional object includes an imaging array having a sensor configured to generate first and second sparse views of a surface of the three-dimensional object that faces the imaging array, and a processing circuitry. The processing circuitry is configured to: interpolate the first and second sparse views to obtain first and second interpolated images; calculate a planar disparity function for a plurality of image pixels of one of the first or second interpolated images; generate a projected image by displacing the plurality of image pixels of one of the first or the second interpolated images using the planar disparity function; and compare the projected image with the other of the first or second interpolated images to determine conformance of the planar disparity function with the interpolated images of the surface of the object. | 2022-08-25 |
20220270361 | SYSTEMS AND METHODS FOR INITIATING ADJUSTMENT OF AN OPERATION ASSOCIATED WITH AN UNDERWATER DRILLING SYSTEM - This disclosure is directed to initiating adjustment of an operation associated with an underwater drilling system, which may include receiving at least one underwater image; identifying the reference object in the at least one underwater image, wherein a position of the reference object is fixed relative to an underwater borehole or an underwater cloud; determining a first parameter associated with the reference object; identifying the underwater cloud in the at least one underwater image; determining a second parameter associated with the underwater cloud; adjusting the second parameter associated with the underwater cloud based on the first parameter associated with the reference object; and initiating an adjustment of the operation associated with the underwater drilling system based on the adjusted second parameter associated with the underwater cloud. | 2022-08-25 |
20220270362 | METHOD FOR PROCESSING HYPERSPECTRAL IMAGES - A method for processing a hyperspectral image, comprising: a first correction step for extracting a curve of spectral dimension of an initial spaceborne hyperspectral cube image for low-pass filtering so as to obtain initial correction coefficients; an optimization step for optimizing and compensating the initial correction coefficients according to the ripple period of spatial dimension of the pixel in each band, so as to obtain the optimized correction coefficients of the hyperspectral cube image; and a second correction step for obtaining a corrected hyperspectral image based on the optimized correction coefficients. | 2022-08-25 |
20220270363 | IMAGE PROCESSING APPARATUS, IMAGE PROCESSING METHOD, AND PROGRAM - Provided are an apparatus and a method that performs selection or display mode change of a virtual object to be displayed depending on a real object type in a target area to be a display area for the virtual object. Included are an object identification unit that executes identification processing of a real object in the real world, and a content display control unit that generates an AR image in which a real object and a virtual object are superimposed and displayed. The object identification unit identifies a real object in the target area to be the display area for the virtual object, and the content display control unit performs processing of selecting the virtual object to be displayed or processing of changing the display mode depending on the object identification result. | 2022-08-25 |
20220270364 | Machine Learning in Video Classification - Described herein are systems and methods that search videos and other media content to identify items, objects, faces, or other entities within the media content. Detectors identify objects within media content by, for instance, detecting a predetermined set of visual features corresponding to the objects. Detectors configured to identify an object can be trained using a machine learned model (e.g., a convolutional neural network) as applied to a set of example media content items that include the object. The systems provide user interfaces that allow users to review search results, pinpoint relevant portions of media content items where the identified objects are determined to be present, review detector performance and retrain detectors, providing search result feedback, and/or reviewing video monitoring results and analytics. | 2022-08-25 |
20220270365 | IMAGE RECOGNITION METHOD, VIDEO PLAYBACK METHOD, RELATED DEVICES - The disclosure provides an image recognition method and apparatus. The image recognition method may include obtaining a first frame image of which a frame type is known, and a second frame image and a third frame image of which frame types are unknown from an image frame sequence. The method may further include predicting a pixel sequence of the second frame image according to the first frame image and the third frame image. The method may further include calculating a pixel error according to a second pixel sequence of the second frame image and the predicted pixel sequence. The second pixel sequence includes pixel values of the pixels in the second frame image. The method may further include recognizing a frame type of the second frame image or the third frame image according to the pixel error. | 2022-08-25 |
20220270366 | BIDIRECTIONAL PAIRING ARCHITECTURE FOR OBJECT DETECTION IN VIDEO - Techniques related to training and implementing a bidirectional pairing architecture for object detection are discussed. Such techniques include generating a first enhanced feature map for each frame of a video sequence by processing the frames in a first direction, generating a second enhanced feature map for frame by processing the frames in a second direction opposite the first, and determining object detection information for each frame using the first and second enhanced feature map for the frame. | 2022-08-25 |
20220270367 | METHOD AND DEVICE FOR AUTOMATICALLY RECOGNIZING SPORT COURT AND DETERMINING IN/OUT ON BASIS OF SAME - A method for automatically recognizing a sport court according to the present invention includes: a step for acquiring an original image of the sport court as captured by a camera; a step for converting the acquired original image and generating a binarized image; a step for detecting lines forming the court from the binarized image; a step for adding virtual extension lines to the detected lines to compensate for missing lines, to thereby generate preliminary court lines; a step for comparing a pre-stored regulation size sport court template and the preliminary court lines; a step for correcting the preliminary court lines according to the comparison result; a step for labeling the corrected court lines; and a step for generating sport court information including labeling information. | 2022-08-25 |
20220270368 | INTERACTIVE VIDEO SYSTEM FOR SPORTS MEDIA - A method for delivering interactive video to a user is disclosed herein. A computing system identifies video contents corresponding to a sporting event. The video contents include a plurality of video frames. The computing system annotates each video frame of the plurality of video frames to uniquely identify the video frame and contents contained therein. The computing system receives, from a plurality of prediction models, a plurality of data inputs related to agents and actions captured in each video frame of the plurality of video frames. The computing system generates a plurality of data frames based on the plurality of data inputs. The computing system associates each data frame with a respective video frame using the annotations. The computing system causes a user device to present the interactive video to the user by instructing the user device to merge the plurality of data frames with the plurality of video frames. | 2022-08-25 |
20220270369 | INTELLIGENT CATALOGING METHOD FOR ALL-MEDIA NEWS BASED ON MULTI-MODAL INFORMATION FUSION UNDERSTANDING - The present disclosure provides an intelligent cataloging method for all-media news based on multi-modal information fusion understanding, which obtains multi-modal fusion features by unified representation and fusion understanding of video information, voice information, subtitle bar information, and character information in the all-media news, and realizes automatic slicing, automatic cataloging description, and automatic scene classification of news using the multi-modal fusion features. The beneficial effect of the present disclosure is that it realizes the complete process of automatic comprehensive cataloging for the all-media news, and improves the accuracy and generalization of the cataloging method, and greatly reduces the manual cataloging time by generating stripping marks, news cataloging descriptions, news classification labels, news keywords, and news characters based on the fusion of multi-modes of video, audio, and text. | 2022-08-25 |
20220270370 | TEMPORALLY DISTRIBUTED NEURAL NETWORKS FOR VIDEO SEMANTIC SEGMENTATION - A Video Semantic Segmentation System (VSSS) is disclosed that performs accurate and fast semantic segmentation of videos using a set of temporally distributed neural networks. The VSSS receives as input a video signal comprising a contiguous sequence of temporally-related video frames. The VSSS extracts features from the video frames in the contiguous sequence and based upon the extracted features, selects, from a set of labels, a label to be associated with each pixel of each video frame in the video signal. In certain embodiments, a set of multiple neural networks are used to extract the features to be used for video segmentation and the extraction of features is distributed among the multiple neural networks in the set. A strong feature representation representing the entirety of the features is produced for each video frame in the sequence of video frames by aggregating the output features extracted by the multiple neural networks. | 2022-08-25 |
20220270371 | Determining Distance of Objects - A computer implemented method for determining a distance of an object comprises the following steps carried out by computer hardware components: determining an image containing the object; determining a class of the object based on the image; determining a coarse estimation of the distance based on a distance sensor; and determining the distance of the object based on the coarse estimation and based on the class of the object. | 2022-08-25 |
20220270372 | INFORMATION PROCESSING SYSTEM, CONTROL METHOD OF THE SYSTEM, AND STORAGE MEDIUM - An information processing system includes an image capturing unit that captures an image of a visitor, an acquisition unit that acquires information about a response to a visit of the visitor, and a training data generation unit that generates training data for a learning model by using the image of the visitor captured by the image capturing unit and the information about the response acquired by the acquisition unit. | 2022-08-25 |
20220270373 | METHOD FOR DETECTING VEHICLE, ELECTRONIC DEVICE AND STORAGE MEDIUM - A method, an electronic device and a storage medium are provided. The method may include: acquiring a to-be-inspected image; inputting the to-be-inspected image into a pre-established vehicle detection model to obtain a vehicle detection result, where the vehicle detection result includes category information, coordinate information, coordinate reliabilities, and coordinate error information of detection boxes, and the vehicle detection model is configured for characterizing a corresponding relationship between images and vehicle detection results; selecting, based on the coordinate reliabilities of the detection boxes, a detection box from the vehicle detection result for use as a to-be-processed detection box; and generating, based on coordinate information and coordinate error information of the to-be-processed detection box, coordinate information of a processed detection box. | 2022-08-25 |
20220270374 | Vehicle Video System - Images are obtained using cameras mounted on a vehicle, and at least a portion of the obtained images are displayed on a screen. Motion of the vehicle can be controlled such that it moves toward a physical destination selected from images obtained using cameras mounted on a vehicle. | 2022-08-25 |
20220270375 | Object Recognition Method and Object Recognition Device - An object recognition method uses a sensor configured to acquire a position of an object existing in a surrounding environment as point clouds including a plurality of detection points in a top view. The method includes: grouping point clouds according to a proximity; determining, when performing polygon approximation on the grouped point clouds, whether at least part of the detection points constituting the grouped point clouds are located in a blind zone of an approximate polygon acquired by the polygon approximation with respect to the sensor; recognizing the grouped point clouds as point clouds corresponding to plural objects when it is determined that the detection points are located in the blind zone with respect to the sensor; and recognizing the grouped point clouds as point clouds corresponding to a single object of the approximate polygon when it is determined that the detection points are not located in the blind zone. | 2022-08-25 |
20220270376 | DETERIORATION DIAGNOSIS DEVICE, DETERIORATION DIAGNOSIS SYSTEM, DETERIORATION DIAGNOSIS METHOD, AND STORAGE MEDIUM FOR STORING PROGRAM - A deterioration diagnosis device including an acquisition unit that acquires sensing information including at least a captured image captured by an image capture device mounted on a moving body, driving condition information indicating driving details of the moving body, and position information corresponding to the captured image and the driving condition information; a deterioration degree analysis unit that analyzes a deterioration degree of an inspection target appearing in the captured image; and a priority ranking computation unit that computes a priority ranking of the inspection target based on deterioration degrees of the same inspection target appearing in multiple captured images identified by the position information, and the driving condition information corresponding to the identified inspection target. | 2022-08-25 |
20220270377 | METHOD AND APPARATUS FOR DETECTING CORNER POINTS OF LANE LINES, ELECTRONIC DEVICE AND STORAGE MEDIUM - The present application relates to a method and an apparatus for detecting corner points of a lane line, an electronic device and a storage medium. The method comprises: obtaining a road image to be detected; inputting the road image into a pre-trained neural network model to obtain a heat map prediction result, wherein the heat map prediction result comprises a probability of each pixel belonging to a specific corner point category; determining a plurality of different categories of corner points in the road image according to the probability of each pixel belonging to a specific corner point category in the heat map prediction result; and grouping the plurality of different categories of corner points according to a predetermined rule to obtain at least one corner point group. The present application can solve the problem that the corner points of the lane lines cannot be accurately and quickly detected. | 2022-08-25 |
20220270378 | LOST ITEM DETECTION SYSTEM, LOST ITEM DETECTION APPARATUS, AND COMPUTER READABLE RECORDING MEDIUM - A lost item detection system includes: a vehicle that is capable of driverless and autonomous traveling, the vehicle being configured to travel with a user on board in a preset section; and a center server comprising a first processor configured to acquire a photographic image obtained by capturing an interior of the vehicle from the vehicle, detect a lost item of a user based on the image, specify an owner candidate of the lost item based on the image, acquire information regarding the owner candidate based on a fare settlement history of the owner candidate regarding the vehicle, and register lost item information including the image of the lost item and the information regarding the owner candidate in a lost item ledger in association with each other. | 2022-08-25 |
20220270379 | INFORMATION PROCESSING DEVICE, INFORMATION PROCESSING METHOD, AND SYSTEM - An information processing device that includes a control unit that acquires an output of a sensor that detects a body of matter on each seat of a vehicle, and that transmits information on a permitted seat arrangement to a user terminal based on the output of the sensor. | 2022-08-25 |
20220270380 | OCCUPANT MONITORING DEVICE FOR VEHICLE - An occupant monitoring device for a vehicle includes an imager, a display, and a determiner. The imager is configured to image a cabin of the vehicle to monitor conditions of occupants in the vehicle. The display is configured to display a screen to be viewed by the occupants in the vehicle. The determiner is configured to determine the conditions of the occupants in the vehicle by using captured image data obtained by imaging each of the occupants by the imager while the screen is displayed on the display. A panel configured to display the screen of the display has an outer edge outside a display area of the screen. The imager is disposed on a back of the outer edge of the panel of the display. | 2022-08-25 |
20220270381 | OCCUPANT MONITORING DEVICE FOR VEHICLE - An occupant monitoring device for a vehicle includes a display, a controller, and an imager. The display is configured to display an operation screen for an occupant in the vehicle. The controller is configured to execute control based on an operation type determined as an operation performed by the occupant on the operation screen of the display. The imager is configured to image the occupant in the vehicle. The controller is configured to avoid executing the control based on the determined operation type in a case where the operation type performed by the occupant at least involves movement toward the imager. | 2022-08-25 |
20220270382 | METHOD AND APPARATUS OF TRAINING IMAGE RECOGNITION MODEL, METHOD AND APPARATUS OF RECOGNIZING IMAGE, AND ELECTRONIC DEVICE - The present application provides a method and an apparatus of training an image recognition model, a method and an apparatus of recognizing an image, and an electronic device, which relates to a field of an image processing technology, and in particular to artificial intelligence and computer vision technology. A specific implementation scheme of the present disclosure includes: determining a training sample set including a plurality of sample pictures and a text label for each sample picture; extracting an image feature of each sample picture and a semantic feature of each sample picture based on a feature extraction network of a basic image recognition model; and training the basic image recognition model based on the extracted image feature of each sample picture, the extracted semantic feature of each sample picture, the text label for each sample picture, a predetermined image classification loss function, and a predetermined semantic classification loss function. | 2022-08-25 |
20220270383 | Methods and Systems to Focus an Imager for Machine Vision Applications - Methods and systems to focus an imager for machine vision applications are disclosed. A disclosed example machine vision method includes: capturing, via an imaging assembly, an image of an indicia appearing within a field of view (FOV) of the imaging assembly; recognizing, via a controller, the indicia as a focus adjustment trigger, the focus adjustment trigger operative to trigger an adjustment of at least one focus parameter associated with the imaging assembly; adjusting the at least one focus parameter based at least in part on the indicia; locking the at least one focus parameter such that the at least one focus parameter remains unaltered for a duration; and responsive to the locking of the at least one focus parameter, capturing, via the imaging assembly, at least one subsequent image of an object of interest. | 2022-08-25 |
20220270384 | METHOD FOR TRAINING ADVERSARIAL NETWORK MODEL, METHOD FOR BUILDING CHARACTER LIBRARY, ELECTRONIC DEVICE, AND STORAGE MEDIUM - The present disclosure discloses a method for training an adversarial network model, a method for building a character library, an electronic device and a storage medium, which relate to a field of artificial intelligence, in particular to a field of computer vision and deep learning technologies, and are applicable in a scene of image processing and image recognition. The method for training includes: generating a new character by using the generation model based on a stroke character sample and a line character sample; discriminating a reality of the generated new character by using the discrimination model; calculating a basic loss based on the new character and a discrimination result; calculating a track consistency loss based on a track consistency between the line character sample and the new character; and adjusting a parameter of the generation model according to the basic loss and the track consistency loss. | 2022-08-25 |
20220270385 | METHOD AND SYSTEM FOR HANDWRITTEN INPUT RECOGNITION - The disclosure relates to a handwritten input-recognition method for an electronic-device. The method comprises: obtaining by the device, at least one first handwriting input representative of at least one object. A context of the at least one first handwriting input is determined based on referring a log of actions performed upon the device. Using a neural network, a positional significance of the at least one first handwriting input is analyzed in relation to the determined context. A description depicting location of the at least one object is generated based on the analyzed positional significance of the at least one first handwriting-input. A command in response to the generated scene description is generated to enable performance of an action, the command referring the location of the at least one object within the scene. | 2022-08-25 |
20220270386 | FAST IDENTIFICATION OF TEXT INTENSIVE PAGES FROM PHOTOGRAPHS - Methods and systems for training a neural network to distinguish between text documents and image documents are described. A corpus of text and image documents is obtained. A page of a text document is scanned by shifting a text window to a plurality of locations. In accordance with a determination that the text in the window at a respective location meets text line criteria, the text in the window is stored as a respective text snippet. A plurality of image windows are superimposed over at least one page of an image document. In accordance with a determination that the content of a respective image window meets image criteria, content of the image window is stored as a respective image snippet. The respective text snippet and the respective image snippet are provided to a classifier. | 2022-08-25 |
20220270387 | MODELING METHOD AND MODELING DEVICE FOR HUMAN BODY MODEL, ELECTRONIC DEVICE, AND STORAGE MEDIUM - Provided are a modeling method and a modeling device for a human body model, an electronic device, and a storage medium. The modeling method includes: acquiring a human body size of the user; performing a scaling process on a standard human body model, to obtain a reference human body model; acquiring a human body image of the user; obtaining sizes of body parts of the user; determining to-be-moved target positions of each reference body surface feature point and the reference bone point of each set of reference control points of the reference human body model; adjusting each reference body surface feature point and each reference bone point of the reference human body model to the to-be-moved target positions to obtain the customized human body model of the user. | 2022-08-25 |
20220270388 | DATA CREATION METHOD AND DATA CREATION PROGRAM - There is provided a data creation method for efficiently performing volume adjustment of a sound of each subject according to a state of each of a plurality of subjects. A data creation method includes: an association step (step S | 2022-08-25 |
20220270389 | SYSTEM AND METHOD FOR INCREASING SAFETY DURING LAW ENFORCEMENT STOPS - An improvement is provided for routine law enforcement stops by making it safer for police officers and pedestrians. Implementation of smart technology into the industry wide standard use of physical interactions between police officers and pedestrians, a streamed lined method and process will yield optimal results as a safer method and system in executing such a tactic. Utilizing technology i.e. algorithms and databases, servers, and cloud-based infrastructures with application processing interfaces (api's) communicating in this ecosystem, creating a synergy while transferring specific data; will replace the current process of a routine traffic stop. | 2022-08-25 |
20220270390 | FINGERPRINT IDENTIFICATION MODULE AND ELECTRONIC DEVICE - A fingerprint identification module includes a lens, an optical sensor, and a light filtering component located between the lens and the optical sensor, where a thickness of an edge area of the light filtering component is greater than a thickness of a central area of the light filtering component, and a thickness of the light filtering component decreases gradually along a direction from the edge area to the central area. | 2022-08-25 |
20220270391 | OPTICAL FINGERPRINT IDENTIFICATION SYSTEM - An optical fingerprint identification system includes a cover, a light emitting layer, an optical layer, an image sensor and a base that are sequentially disposed from top to bottom. The cover has a fingerprint contact surface on top. The image sensor has an image surface. The optical layer includes a first array layer and a second array layer, and the first array layer is stacked on top of the second array layer. The first array layer and the second array layer respectively include a plurality of first array lens elements and a plurality of second array lens elements respectively arranged at equal intervals in a first direction. Each of the first array lens elements and a corresponding second array lens element of the second array layer are coaxial along an optical axis and form an imaging unit. | 2022-08-25 |
20220270392 | ELECTRONIC DEVICE TO RECEIVE FINGERPRINT DATA AND METHOD FOR THE SAME - An electronic device to receive fingerprint data and a method for the same is provided. The electronic device includes a touch unit including a plurality of touch pixels, a display unit, and a sensing unit including a plurality of sensing pixels. The method includes receiving a finger touch signal through the touch unit, determining a finger touch region in the touch unit, determining a first region in the display unit, determining a sensing region in the sensing unit, wherein the sensing region is overlapped with the finger touch region, and receiving the fingerprint data through the sensing unit, wherein a density of a part of the plurality of touch pixels in the finger touch region is less than a density of a part of the plurality of sensing pixels in the sensing region. | 2022-08-25 |
20220270393 | BIOMETRIC SENSOR, DISPLAY APPARATUS, AND METHOD FOR DETECTING BIOMETRIC INFORMATION - A biometric sensor configured to detect a biometric information is provided. The biometric sensor includes a light emitting layer and a touch detection layer; an encapsulating cover on the light emitting layer; a photo-sensing layer configured to detect at least a portion of a light totally reflected by a surface of the biometric sensor in touch with a skin of a user; a touch sensing circuit configured to determine a touch position of a touch; a processor configured to determine a scanning region based on the touch position, and configured to control the light emitting layer to form a scanning light source to scan the scanning region in a scanning pattern; and a biometric information analysis circuit configured to determine a light intensity distribution of a reflected light reflected by the surface of the biometric sensor, and configured to determine the biometric information based on the light intensity distribution. | 2022-08-25 |
20220270394 | PACKAGE STRUCTURE OF FINGERPRINT RECOGNITION CHIP MODULE AND MANUFACTURING METHOD THEREOF - A method for manufacturing a package structure of a fingerprint recognition chip module is provided and including: providing a carrier plate with a chip accommodation area; setting a fingerprint recognition chip having a recognition area in the chip accommodation areas; connecting the fingerprint recognition chip electrically to the circuit carrier; optionally applying a coating material on the chip accommodation area of the carrier plate, and optionally applying the coating material on the recognition area; and covering the chip accommodation area of the carrier plate with a covering layer except for the recognition area. The chip accommodation area is further configured to accommodate either an encapsulated or an unencapsulated security encryption chip, either an encapsulated or an unencapsulated micro processing chip, either an encapsulated or an unencapsulated power processing chip, and a plurality of resistors and a plurality of capacitors. | 2022-08-25 |
20220270395 | APPARATUS FOR INSPECTING AND SORTING - A method and apparatus for sorting is described, and which includes providing a product stream formed of individual objects of interest having feature aspects which can be detected; generating multiple images of each of the respective objects of interest; classifying the feature aspects of the objects of interest; identifying complementary images by analyzing some of the multiplicity of images; fusing the complementary images to form an aggregated region representation of the complementary images; and sorting the respective objects of interest based at least in part upon the aggregated region representation which is formed. | 2022-08-25 |