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region-based stereo matching.
This was done through sparse stereo matching.
Not all of the TMOs perform well for stereo matching.
Dense stereo matching methods calculate disparity at every pixel.
Second, only the foreground regions are used for stereo matching.
This paper presents a novel stereo matching algorithm Cyclops2.
Stereo matching using feature vectors has two difficulties.
For stereo matching a DSI representation is used.
Stereo matching module only reconstructs discrete layers of disparity.
Therefore, we call the stereo matching using tone-mapped image pairs, the backward-compatible stereo matching approach.
Secondly, regional matching combined with epipolar constraint was proposed for fire stereo matching.
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