Patent application number | Description | Published |
20080240551 | LOCAL BI-GRAM MODEL FOR OBJECT RECOGNITION - A local bi-gram model object recognition system and method for constructing a local bi-gram model and using the model to recognize objects in a query image. In a learning phase, the local bi-gram model is constructed that represents objects found in a set of training images. The local bi-gram model is a local spatial model that only models the relationship of neighboring features without any knowledge of their global context. Object recognition is performed by finding a set of matching primitives in the query image. A tree structure of matching primitives is generated and a search is performed to find a tree structure of matching primitives that obeys the local bi-gram model. The local bi-gram model can be found using unsupervised learning. The system and method also can be used to recognize objects unsupervised that are undergoing non-rigid transformations for both object instance recognition and category recognition. | 10-02-2008 |
20090160771 | GENERATING AUDIO SIGNALS BASED ON INPUT DEVICE POSITION - A computer input device and computer system are provided that determine if the input device is at an edge of a pattern on a working surface based on an image of the working surface captured by the input device. An audio control message is generated based on the input device being positioned on the edge of the pattern and the audio control message is used to cause a speaker to generate an audio signal. | 06-25-2009 |
20100169838 | ANALYSIS OF IMAGES LOCATED WITHIN THREE-DIMENSIONAL ENVIRONMENTS - Images are analyzed within a 3D environment that is generated based on spatial relationships of the images and that allows users to experience the images in the 3D environment. Image analysis may include ranking images based on user viewing information, such as the number of users who have viewed an image and how long an image was viewed. Image analysis may further include analyzing the spatial density of images within a 3D environment to determine points of user interest. | 07-01-2010 |
20100302280 | RENDERING ALIGNED PERSPECTIVE IMAGES - Techniques and systems are disclosed for navigating human scale image data using aligned perspective images. A consecutive sequence of digital images is stacked together by aligning consecutive images laterally with an image offset between edges of consecutive images corresponding to a distance between respective view windows of the consecutive images. A view window of an image in the sequence is rendered, where the view window of the image corresponds to a desired location. Offset portions of the view window of a desired number of images in the sequence are rendered, for example, alongside the full view of the image at the desired location. | 12-02-2010 |
20110109755 | HARDWARE ASSISTED IMAGE DEBLURRING - The described implementations relate to deblurring images. One system includes an imaging device configured to capture an image, a linear motion detector and a rotational motion detector. This system also includes a controller configured to receive a signal from the imaging device relating to capture of the image and to responsively cause the linear motion detector and the rotational motion detector to detect motion-related information. Finally, this particular system includes a motion calculator configured to recover camera motion associated with the image based upon the detected motion-related information and to infer imaging device motion induced blur of the image and an image deblurring component configured to reduce imaging device induced blur from the image utilizing the inferred camera motion induced blur. | 05-12-2011 |
20110311104 | Multi-Stage Linear Structure from Motion - Described is a linear structure from motion technique that is scalable, parallelizable, treats images equally, and is robust to outliers, without requiring intermediate bundle adjustment. Camera rotations for images are estimated using feature point correspondence and vanishing points matched across the images. The camera rotation data is fed into a linear system for structure and translation estimation that removes outliers and provides output data corresponding to structure from motion parameters. The data may be used in further optimization e.g. with a final non-linear optimization stage referred to as bundle adjustment to provide final refined structure from motion parameters. | 12-22-2011 |
20140307055 | INTENSITY-MODULATED LIGHT PATTERN FOR ACTIVE STEREO - The subject disclosure is directed towards projecting light in a pattern in which the pattern contains components (e.g., spots) having different intensities. The pattern may be based upon a grid of initial points associated with first intensities and points between the initial points with second intensities, and so on. The pattern may be rotated relative to cameras that capture the pattern, with captured images used active depth sensing based upon stereo matching of dots in stereo images. | 10-16-2014 |
20140307058 | ROBUST STEREO DEPTH SYSTEM - The subject disclosure is directed towards a high resolution, high frame rate, robust stereo depth system. The system provides depth data in varying conditions based upon stereo matching of images, including actively illuminated IR images in some implementations. A clean IR or RGB image may be captured and used with any other captured images in some implementations. Clean IR images may be obtained by using a notch filter to filter out the active illumination pattern. IR stereo cameras, a projector, broad spectrum IR LEDs and one or more other cameras may be incorporated into a single device, which may also include image processing components to internally compute depth data in the device for subsequent output. | 10-16-2014 |