Signatures in Shape Analysis: an Efficient Approach to Motion Identification

Add code
Jun 14, 2019
Elena Celledoni, Pål Erik Lystad, Nikolas Tapia
Figure 1 for Signatures in Shape Analysis: an Efficient Approach to Motion Identification
Figure 2 for Signatures in Shape Analysis: an Efficient Approach to Motion Identification
Figure 3 for Signatures in Shape Analysis: an Efficient Approach to Motion Identification

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon

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  
View paper onarxiv icon

Share this with someone who'll enjoy it:

Twitter IconFacebook IconLinkedin IconWhatsapp IconMessenger Icon