Fast stereo matching in compressed video
In this paper we present new algorithms that exploit compressed image data to achieve coarse stereo reconstructions in a real-time environment. Others have shown large gains from processing image streams in compressed form, and we extend those results to address the stereo correspondence problem. We show that it is possible to obtain stereo matches between two frames of a compressed video stream in approximately the same time it takes to fully decompress just one image.
Keywordsstereo compression depth reconstruction real-time compressed domain
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