Software Engineering White Papers
Estimating Disparity and Occlusions in Stereo Video Sequences
Overview This paper proposes an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random field, and approximately computes the MAP estimate for the disparity sequence using loopy belief propagation. In contrast to previous work on temporal stereo, the algorithm; correctly models half-occlusions - scene points visible in one camera but not the other - and; enforces the so-called "Monotonicity constraint" on the boundary of half-occluded regions. The algorithm is also able to exploit temporal coherence more appropriately than many previous approaches to temporal stereo, by employing additional states in the Markov random field.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | March 2005 | ||
| Format | White Papers | ||
| Topics | |||
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