Anton Oleksandrovych Popov

SIGMAR-3D: scale-invariant guaranteed monotone accurate registration for 3D scenes

Abstract SIGMAR-3D is a training-free framework for robust pairwise 3D point-cloud registration. It combines a handcrafted local descriptor, SIGMA, with a scene-adaptive coarse-to-fine registration stage, R-3D. SIGMA builds a repeatable local reference frame at each keypoint and...