SGM-Nets: Semi-Global Matching With Neural Networks

CVPR 2017 Akihito SekiMarc Pollefeys

This paper deals with deep neural networks for predicting accurate dense disparity map with Semi-global matching (SGM). SGM is a widely used regularization method for real scenes because of its high accuracy and fast computation speed... (read more)

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