Signatures in Shape Analysis: an Efficient Approach to Motion Identification
arXiv:1906.06406 · doi:10.1007/978-3-030-26980-7_3
Abstract
Signatures provide a succinct description of certain features of paths in a reparametrization invariant way. We propose a method for classifying shapes based on signatures, and compare it to current approaches based on the SRV transform and dynamic programming.
7 pages, 3 figures. Conference paper for Geometric Science of Information 2019