发明名称 Depth estimation using three-dimensional epipolar data structures
摘要 Systems and methods are provided for depth map estimation using three-dimensional epipolar data structures. The image manipulation application receives image data depicting an image space from a multiple perspectives. The image manipulation application generates at least one three-dimensional epipolar data structure from the image data. The at least one three-dimensional epipolar data structure includes data describing the difference in position of at least one object between the perspectives. The at least one three-dimensional epipolar data structure corresponds to at least one region of the image space. The image manipulation application generates a depth map based on the at least one three-dimensional epipolar data structure.
申请公布号 US9240048(B2) 申请公布日期 2016.01.19
申请号 US201213690514 申请日期 2012.11.30
申请人 Adobe Systems Incorporated 发明人 Tao Michael Wish;Hadap Sunil
分类号 G06T7/00 主分类号 G06T7/00
代理机构 Kilpatrick Townsend & Stockton LLP 代理人 Kilpatrick Townsend & Stockton LLP
主权项 1. A method comprising: receiving, by an image manipulation application executed by a processing device, image data depicting an image space from a plurality of perspectives, wherein the image data comprises an input image having a plurality of super-pixels, each super-pixel comprising image data encoded from the plurality of perspectives; generating, by the image manipulation application, a three-dimensional epipolar data structure from the image data, the three-dimensional epipolar data structure comprising data describing a difference in position of an object between the plurality of perspectives, wherein the three-dimensional epipolar data structure corresponds to a region of the image space, wherein the generating the three-dimensional epipolar data structure comprises: determining first position data from a first subset of pixels of the plurality of super-pixels, wherein the first position data identifies a position of the object within a first plane representing a first dimension and a second dimension of the three-dimensional epipolar data structure, anddetermining second position data from a second subset of pixels of the plurality of super-pixels, wherein the second position data identifies a position of the object within a second plane representing the second dimension and a third dimension of the three-dimensional epipolar data structure; and generating, by the image manipulation application, a depth map based on the three-dimensional epipolar data structure.
地址 San Jose CA US