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Survey on Semantic Stereo Matching / Semantic Depth Estimation
[article]
2021
arXiv
pre-print
Stereo matching is one of the widely used techniques for inferring depth from stereo images owing to its robustness and speed. It has become one of the major topics of research since it finds its applications in autonomous driving, robotic navigation, 3D reconstruction, and many other fields. Finding pixel correspondences in non-textured, occluded and reflective areas is the major challenge in stereo matching. Recent developments have shown that semantic cues from image segmentation can be used
arXiv:2109.10123v1
fatcat:clqvhhh6o5bwtfvv4bir3svwqy