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    • 5. 发明授权
    • Spatially coherent nearest neighbor fields
    • 空间相干最近邻域
    • US09025822B2
    • 2015-05-05
    • US13794125
    • 2013-03-11
    • Adobe Systems Incorporated
    • Hailin JinZhuoyuan ChenZhe LinScott D. Cohen
    • G06K9/00G06K9/46
    • G06K9/4642G06T7/238G06T2207/10016G06T2207/20016G06T2207/20021
    • In embodiments of spatially coherent nearest neighbor fields, initial matching patches of a nearest neighbor field can be determined at image grid locations of a first digital image and a second digital image. Spatial coherency can be enforced for each matching patch in the second digital image with reference to respective matching patches in the first digital image based on motion data of neighboring matching patches. A multi-resolution iterative process can then update each spatially coherent matching patch based on overlapping grid regions of the matching patches that are evaluated for matching regions of the first and second digital images. An optimal, spatially coherent matching patch can be selected for each of the image grid locations of the first and second digital images based on iterative interaction to enforce the spatial coherency of each matching patch and the multi-resolution iterative process to update each spatially coherent matching patch.
    • 在空间相干最近邻域的实施例中,可以在第一数字图像和第二数字图像的图像网格位置处确定最近邻域的初始匹配块。 基于相邻匹配补丁的运动数据,参考第一数字图像中的相应匹配补丁,可以针对第二数字图像中的每个匹配补丁实施空间一致性。 然后,多分辨率迭代过程可以基于为第一和第二数字图像的匹配区域评估的匹配块的重叠网格区域来更新每个空间相干匹配块。 可以基于迭代交互来选择针对第一和第二数字图像的每个图像网格位置的最佳空间相干匹配块,以强制每个匹配块的空间一致性和多分辨率迭代过程以更新每个空间相干匹配 补丁。
    • 6. 发明申请
    • Stereoscopic Target Region Filling
    • 立体目标区域填充
    • US20140313187A1
    • 2014-10-23
    • US13866632
    • 2013-04-19
    • ADOBE SYSTEMS INCORPORATED
    • Scott D. CohenBrian L. PriceBryan Stuart MorseJoel A. Howard
    • G06T15/00
    • H04N13/111
    • 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.
    • 描述了立体目标区填充技术。 描述了在目标区域之间促进立体一致性的技术,例如通过在计算期间共享信息。 还描述了其中完成各个视差图的目标区域以促进视差图之间的一致性的技术。 然后可以将该估计的差异用作在目标区域中完成缺失纹理的指导。 进一步描述了通过利用多个图像来采用跨图像搜索和匹配的技术。 这可能包括优先考虑与跨图像一致性的匹配以促进一致性,从而在适用时实现立体图像之间的立体一致性。