Abstract: Stereo matching, a core research direction in binocular vision, has garnered significant attention for its cost-effectiveness in acquiring depth information. In neurosurgery, stereo matching ...

Abstract: Despite the remarkable progress facilitated by learning-based stereo-matching algorithms, the performance in the ill-conditioned regions, such as the occluded regions, remains a bottleneck.

We introduce Multi-Cylindrical Panoramic Depth Estimation (MCPDepth), a novel two-stage framework designed to enhance omnidirectional depth estimation through stereo matching across multiple ...