Signatures in Shape Analysis: an Efficient Approach to Motion Identification
Celledoni, Elena, Lystad, Pål Erik, Tapia, Nikolas
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.
Jun-14-2019
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- North America > United States
- New York (0.04)
- Pennsylvania > Allegheny County
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- Europe
- North America > United States
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- Research Report (0.82)
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