Local Geometry Inclusive Global Shape Representation

TL;DR

This paper introduces a novel 3D shape representation that incorporates local geometry via quasi-geodesic paths, enabling improved shape correspondence and symmetry detection without prior knowledge.

Contribution

It proposes a global shape descriptor based on shortest quasi-geodesic paths that preserves local geometry and aids in shape correspondence and symmetry analysis.

Findings

Outperforms state-of-the-art shape descriptors in experiments

Effectively identifies stable regions across isometric shapes

Accurately characterizes self-symmetry in 3D shapes

Abstract

Knowledge of shape geometry plays a pivotal role in many shape analysis applications. In this paper we introduce a local geometry-inclusive global representation of 3D shapes based on computation of the shortest quasi-geodesic paths between all possible pairs of points on the 3D shape manifold. In the proposed representation, the normal curvature along the quasi-geodesic paths between any two points on the shape surface is preserved. We employ the eigenspectrum of the proposed global representation to address the problems of determination of region-based correspondence between isometric shapes and characterization of self-symmetry in the absence of prior knowledge in the form of user-defined correspondence maps. We further utilize the commutative property of the resulting shape descriptor to extract stable regions between isometric shapes that differ from one another by a high degree of isometry transformation. We also propose various shape characterization metrics in terms of the eigenvector decomposition of the shape descriptor spectrum to quantify the correspondence and self-symmetry of 3D shapes. The performance of the proposed 3D shape descriptor is experimentally compared with the performance of other relevant state-of-the-art 3D shape descriptors.