GFrames: Gradient-based local reference frame for 3D shape matching

Abstract

We introduce GFrames, a novel local reference frame (LRF) construction for 3D meshes and point clouds. GFrames are based on the computation of the intrinsic gradient of a scalar field defined on top of the input shape. The resulting tangent vector field defines a repeatable tangent direction of the local frame at each point; importantly, it directly inherits the properties and invariance classes of the underlying scalar function, making it remarkably robust under strong sampling artifacts, vertex noise, as well as non-rigid deformations. Existing local descriptors can directly benefit from our repeatable frames, as we showcase in a selection of 3D vision and shape analysis applications where we demonstrate state-of-the-art performance in a variety of challenging settings.

Publication
Proc. Int’l Conference on Computer Vision and Pattern Recognition (CVPR)
Simone Melzi
Simone Melzi
Assistant Professor

Assistant Professor at the University of Milano-Bicocca

Emanuele Rodolà
Emanuele Rodolà
Full Professor