Multi-view Homographies from Dense Matches
We propose a SLAM system that reconstructs 3D scenes by leveraging dense feature correspondences and planar structures, identified through multi-view homographies. In contrast to traditional SLAM algorithms, our method emphasizes planes as the primary geometric primitive. While classical keypoint detectors such as SIFT typically yield a few hundred matches per image pair, modern dense matchers ca
