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arXiv · 1906.06406

Signatures in Shape Analysis: an Efficient Approach to Motion Identification

Elena Celledoni·Pål Erik Lystad·Nikolas Tapia
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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.

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Elena Celledoni, Pål Erik Lystad, Nikolas Tapia. 2019-06-14. Signatures in Shape Analysis: an Efficient Approach to Motion Identification. https://doi.org/10.1007/978-3-030-26980-7_3

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