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Conference Papers Year : 2010

Geodesic Shape Retrieval via Optimal Mass Transport

Abstract

This paper presents a new method for 2-D and 3-D shape retrieval based on geodesic signatures. These signatures are high dimensional statistical distributions computed by extracting several features from the set of geodesic distance maps to each point. The resulting high dimensional distributions are matched to perform retrieval using a fast approximate Wasserstein metric. This allows to propose a unifying framework for the compact description of planar shapes and 3-D surfaces.
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Dates and versions

hal-00498607 , version 1 (07-07-2010)

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Julien Rabin, Gabriel Peyré, Laurent D. Cohen. Geodesic Shape Retrieval via Optimal Mass Transport. 11th European Conference on Computer Vision, Sep 2010, Heraklion, Crete, Greece. pp.771-784, ⟨10.1007/978-3-642-15555-0_56⟩. ⟨hal-00498607⟩
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