Group-wise Correlation Stereo Network

CVPR 2019 Xiaoyang GuoKai YangWukui YangXiaogang WangHongsheng Li

Stereo matching estimates the disparity between a rectified image pair, which is of great importance to depth sensing, autonomous driving, and other related tasks. Previous works built cost volumes with cross-correlation or concatenation of left and right features across all disparity levels, and then a 2D or 3D convolutional neural network is utilized to regress the disparity maps... (read more)

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