A Multi-spectral Geometric Approach for Shape Analysis.

Autor: Bensaïd, David, Kimmel, Ron
Zdroj: Journal of Mathematical Imaging & Vision; Aug2024, Vol. 66 Issue 4, p606-615, 10p
Abstrakt: A solid object in R 3 can be represented by its smooth boundary surface which can be equipped with an intrinsic metric to form a 2-Riemannian manifold. In this paper, we analyze such surfaces using multiple metrics that give birth to multi-spectra by which a given surface can be characterized. Their relative sensitivity to different types of local structures allows each metric to provide a distinct perspective of the shape. Extensive experiments show that the proposed multi-metric approach significantly improves important tasks in geometry processing such as shape retrieval and find similarity and corresponding parts of non-rigid objects. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index