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.
Gframes: Gradient-based local reference frame for 3D shape matching / S. Melzi; R. Spezialetti; F. Tombari; M. M. Bronstein; L. Di Stefano; E. Rodolà. - ELETTRONICO. - 2019:(2019), pp. 8953995.4624-8953995.4633. (Intervento presentato al convegno 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019 tenutosi a usa nel 2019) [10.1109/CVPR.2019.00476].
Gframes: Gradient-based local reference frame for 3D shape matching
R. Spezialetti;L. Di Stefano;
2019
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.