Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition

no code implementations • ICCV 2017 • Anders Glent Buch, Lilita Kiforenko, Dirk Kraft

The key insight of our work is that a single correspondence between oriented points on the two models is constrained to cast votes in a 1 DoF rotational subgroup of the full group of poses, SE(3).

3D Object Recognition Clustering +2