Method for reconstructing depth image and decoder for reconstructing depth image
A depth image and depth technology, applied in the field of efficient representation of depth video, can solve problems such as depth information errors
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[0015] virtual view synthesis
[0016] Our virtual image synthesis uses camera parameters and in-frame depth information to determine the texture value of pixels in an image synthesized from pixels in images of adjacent viewpoints (adjacent images).
[0017] Typically, two adjacent images are used to synthesize a virtual image for any viewpoint between the two adjacent images.
[0018] Each pixel in two adjacent images is projected to the corresponding pixel in the virtual image plane. We use the pinhole camera model to exploit
[0019] [u,v,w] T = R c ·A c -1 [x, y, 1] T d[c,x,y]+T c ,(1)
[0020] to project the pixel at position (x, y) in the adjacent image c into world coordinates [u, v, w],
[0021] where d is the depth relative to the optical center of the camera at image c, A, R, and T are the camera parameters, and the superscript T is the transpose operator.
[0022] we based on
[0023] x v =[x',y',z'] T =A v · R v -1 · [u, v, w] T -T v .(2)
[0024...
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