Patent application number | Description | Published |
20100166266 | Method for Identifying Faces in Images with Improved Accuracy Using Compressed Feature Vectors - A method identifies an unknown face in an input image using reference images of known faces. A Haar-like feature vector is extracted from each image. The vectors are compressed. An L1 norm is determined between the compressed feature vector of the input image and each compressed feature vector from the set of reference images to determine a most similar reference image. The identity of the face associated with the most similar reference image is assigned as the identity of the unknown face in the input image. | 07-01-2010 |
20110123122 | System and Method for Determining Poses of Objects - During pre-processing, a 3D model of the object is rendered for various poses by arranging virtual point light sources around the lens of a virtual camera. The shadows are used to obtain oriented depth edges of the object illuminated from multiple directions. The oriented depth edges are stored in a database. A camera acquires images of the scene by casting shadows onto the scene from different directions. The scene can include one or more objects arranged in arbitrary poses with respect to each other. The poses of the objects are determined by comparing the oriented depth edges obtained from the acquired images to the oriented depth edges stored in the database. The comparing evaluates, at each pixel, a cost function based on chamfer matching, which can be speed up using downhill simplex optimization. | 05-26-2011 |
20110187502 | Active Badge Localization Using Passive Sensors - A network in an environment includes passive sensors with associated sensor identification numbers. A set of active badges with associated badge identification numbers, wherein each badge is associated with an object, and wherein a particular sensor broadcasts a packet in response to detecting a particular object, wherein the packet includes the sensor identification number and a time, and only if the particular object is associated with a particular badge then the badge appends the badge identification number to the packet and broadcasts the appended packet, and the particular sensor receives and rebroadcasts the appended packet for further processing to passively and actively monitor the environment. | 08-04-2011 |
20130204574 | Method for Estimating Positions Using Absolute Encoders - A position is determined by sensing a signal corresponding to a subsequence of marks in a non-periodic sequence of the marks on a scale. A coarse position P | 08-08-2013 |
20130253870 | Self-Calibrating Single Track Absolute Rotary Encoder - A rotary encoder includes a single read-head and a circular scale. The encoder is self-calibrated by acquiring calibration samples with the read-head for rotational angles of the circular scale, and estimating spatial frequency and spatial distortion parameters of the encoder from the calibration samples. | 09-26-2013 |
20130258177 | Structured Light Projection and Acquisition - A structured light pattern is projected onto a scene using pulses of light emitted by light emitting diodes (LEDs) of the projector, wherein during the pulses of the LEDs, the LEDs are driven at an overdrive current when the LEDS are ON. A sensor of a camera only integrates light from the scene during the pulses to acquire images of the scene. | 10-03-2013 |
20140300600 | Method for Detecting 3D Geometric Boundaries in Images of Scenes Subject to Varying Lighting - Three-dimensional (3D) geometric boundaries are detected in images of a scene that undergoes varying lighting conditions caused by light sources in different positions, from a set of input images of the scene illuminated by at least two different lighting conditions. The images are aligned, e.g., acquired by a stationary camera, so that pixels at the same location in all of the input images correspond to the same point in the scene. For each location, a patch of corresponding pixels centered at the location is extracted from each input image. For each location, a confidence value that there is a 3D geometric boundary at the location is determined. | 10-09-2014 |
20150269708 | Method for Generating High-Resolution Images using Regression Patterns - A method generates a high-resolution (HR) image from a low-resolution (LR) image using regression functions. During a training stage, training HR images are downsampled to LR images. A signature is determined for each LR-HR patch pair based on a local ternary pattern (LTP). The signature is a low dimensional descriptor used as an abstraction of the patch pair features. Then, patch pairs with the same signature are clustered, and a regression function which maps the LR patches to the HR patches is determined. In some cases patch pairs of similar signatures can be combined for learning and a single regression function determined, thus decreasing the number of required regression functions. During actual upscaling, LR patches of an input image are similarly processed to obtain the signatures and from the regression functions. The LR patches can then be upscaled using the training regression functions. | 09-24-2015 |