Patent application number | Description | Published |
20140015992 | Specular Edge Extraction Using Multi-Flash Imaging - A method and system extract features from an image acquired of an object with a specular surface by first acquiring an image while illuminating the object with a hue circle generated by a set of lights flashed simultaneously. The lights have different colors and are arranged circularly around a lens of a camera. Then, the features correspond to locations of pixels in the image within a neighborhood of pixels that includes a subset of the colors of the lights. | 01-16-2014 |
20140219547 | Method for Increasing Resolutions of Depth Images - A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor. | 08-07-2014 |
20140300599 | Method for Factorizing Images of a Scene into Basis Images - A set of nonnegative lighting basis images representing a scene illuminated by a set of stationary light sources is recovered from a set of input images of the scene that were acquired by a stationary camera. Each image is illuminated by a combination of the light sources, and at least two images in the set are illuminated by different combinations. The set of input images is decomposed into the nonnegative lighting basis images and a set of indicator coefficients, wherein each lighting basis image corresponds to an appearance of the scene illuminated by one of the light sources, and wherein each indicator coefficient indicates a contribution of one of the light sources to one of the input images. | 10-09-2014 |
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 |
20150193910 | Method for Increasing Resolutions of Depth Images - A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor. | 07-09-2015 |
20150324659 | METHOD FOR DETECTING OBJECTS IN STEREO IMAGES - A method detects an object in a pair of stereo images acquired of a scene, by first generating a cost volume from the pair of stereo images, wherein the cost volume includes matching costs for a range of disparity values, for each pixel the sterao images, between the stereo images in the pair. Feature vectors are determined from sub-images in the cost volume using a feature function of the disparity values with a minimal accumulated cost within regions inside the sub-images. Then, a classifier is appled to the feature vectors to detect whether the sub-image includes the object. | 11-12-2015 |
20160055237 | Method for Semantically Labeling an Image of a Scene using Recursive Context Propagation - A method semantically labels an image acquired of a scene by first obtaining a local semantic feature for each local region in the image. The local semantic features are combined recursively to form intermediate segments until a semantic feature for the entire image is obtained. Then, the semantic feature for the entire image is decombined recursively into intermediate segments until an enhanced semantic feature for each local region is obtained. Then, each local region is labeled according to the enhanced semantic feature. | 02-25-2016 |
20160063685 | Image Denoising Using a Library of Functions - A method denoises a noisy image by, for each pixel in the noisy image, first constructing a key from a patch, wherein the patch includes locally neighboring pixels around the pixel. A function is selected from a function library using the key. Then, the function is applied to the patch to generate a corresponding noise free pixel for the pixel. | 03-03-2016 |