Patent application number | Description | Published |
20130083021 | Stereo-Aware Image Editing - Embodiments of methods and systems for stereo-aware image editing are described. A three-dimensional model of a stereo scene is built from one or more input images. Camera parameters for the input images are computed. The three-dimensional model is modified. In some embodiments, the modifying the three-dimensional model includes modifying one or more of the images and applying results of the modifying one or more of the images to corresponding model vertices. The scene is re-rendered from the camera parameters to produce an edited stereo pair that is consistent with the three-dimensional model. | 04-04-2013 |
20130127824 | Object Selection in Stereo Image Pairs - A method is disclosed. Input data indicates a location within a region of a digital image of a stereo image pair. A boundary of the region and a corresponding boundary of a corresponding region of another digital image are defined based on the input data, content of the digital image, and content of the another digital image. The boundary and the corresponding boundary represent boundaries of a visual feature in the digital image and the other digital image. The defining further includes constructing a probability distribution for the digital image and another probability distribution for the other digital image. The probability distribution for the digital image represents a probability that each pixel of a set of pixels of the digital image is within the region. The other probability distribution represents a probability that each pixel of another set of pixels of the another digital image is within the corresponding region. | 05-23-2013 |
20130136338 | Methods and Apparatus for Correcting Disparity Maps using Statistical Analysis on Local Neighborhoods - Methods and apparatus for disparity map correction through statistical analysis on local neighborhoods. A disparity map correction technique may be used to correct mistakes in a disparity or depth map. The disparity map correction technique may detect and mark invalid pixel pairs in a disparity map, segment the image, and perform a statistical analysis of the disparities in each segment to identify outliers. The invalid and outlier pixels may then be corrected using other disparity values in the local neighborhood. Multiple iterations of the disparity map correction technique may be performed to further improve the output disparity map. | 05-30-2013 |
20140119643 | Image Matting and Alpha Value Techniques - Image matting and alpha value techniques are described. In one or more implementations, techniques are described in which matting operations are applied to image data that is in a raw or substantially raw image format. This may be used to decompose image data into foreground and background images as well as to generate an alpha value that describes a linear combination of the foreground and background images for a respective pixel. Further, implementations are also described in which a plurality of alpha values is generated for each of a plurality of pixels. These alpha values may be utilized to support a variety of different functionality, such as matting operations and so on. | 05-01-2014 |
20140152776 | Stereo Correspondence and Depth Sensors - Stereo correspondence and depth sensor techniques are described. In one or more implementations, a depth map generated by a depth sensor is leveraged as part of processing of stereo images to assist in identifying which parts of stereo images correspond to each other. The depth map, for instance, may be utilized to assist in identifying depth discontinuities in the stereo images. Additionally, techniques may be employed to align the depth discontinuities identified from the depth map to image edges identified from the stereo images. Techniques may also be employed to suppress image edges that do not correspond to the depth discontinuities of the depth map in comparison with image edges that do correspond to the depth discontinuities as part of the identification. | 06-05-2014 |
20140153816 | Depth Map Stereo Correspondence Techniques - Depth map stereo correspondence techniques are described. In one or more implementations, a depth map generated through use of a depth sensor is leveraged as part of processing of stereo images to assist in identifying which parts of stereo images correspond to each other. For example, the depth map may be utilized to describe depth of an image scene which may be used as part of a stereo correspondence calculation. The depth map may also be utilized as part of a determination of a search range to be employed as part of the stereo correspondence calculation. | 06-05-2014 |
20140168215 | Stereo Correspondence Model Fitting - Stereo correspondence model fitting techniques are described. In one or more implementations, a model may be fit to a region in at least one of a plurality of stereoscopic images of an image scene. The model may then be used as part of a stereo correspondence calculation, which may include computing disparities for the region based at least in part on correspondence to the model. | 06-19-2014 |
20140169660 | Stereo Correspondence Smoothness Tool - Stereo correspondence smoothness tool techniques are described. In one or more implementations, an indication is received of a user-defined region in at least one of a plurality of stereoscopic images of an image scene. Stereo correspondence is calculated of image data of the plurality of stereoscopic images of the image scene, the calculation performed based at least in part on the user-defined region as indicating a smoothness in disparities to be calculated for pixels in the user-defined region. | 06-19-2014 |
20140177903 | Belief Propagation and Affinity Measures - Belief propagation and affinity measure techniques are described. In one or more implementations, beliefs may be formed to solve a labeling problem for a node, such as to perform image processing. An affinity measure may be calculated that describes how similar the node is to another node. This affinity measure may then be used as a basis to determine whether the share the belief formed for the node with the other node to solve a labeling problem for the other node. | 06-26-2014 |
20140313187 | Stereoscopic Target Region Filling - Stereoscopic target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable. | 10-23-2014 |
20140313188 | Target Region Filling Involving Source Regions, Depth Information, or Occlusions - Target region filling techniques are described. Techniques are described in which stereo consistency is promoted between target regions, such as by sharing information during computation. Techniques are also described in which target regions of respective disparity maps are completed to promote consistency between the disparity maps. This estimated disparity may then be used as a guide to completion of a missing texture in the target region. Techniques are further described in which cross-image searching and matching is employed by leveraging a plurality of images. This may including giving preference to matches with cross-image consistency to promote consistency, thereby enforcing stereo consistency between stereo images when applicable. | 10-23-2014 |