2000 character limit reached
Signatures in Shape Analysis: an Efficient Approach to Motion Identification
Published 14 Jun 2019 in math.DG, cs.CV, and stat.ML | (1906.06406v1)
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.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.
