Stereo matching using sub-segmentation and robust higher-order graph cut
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Xie, Yiran
Liu, Nianjun
Liu, Sheng
Barnes, Nick
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IEEE Communications Society
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This paper provides a novel and efficient approach to dense stereo matching. The first contribution is, rather than applying disparity distribution inside a segment as hard constraint to directly project the likelihood of corresponding candidates to each
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A Novel Illumination-Invariant Loss for Monocular 3D
Pose Estimation
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2037-12-31
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