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| HAL : hal-00498607, version 1 |
| DOI : 10.1007/978-3-642-15555-0_56 |
| Fiche détaillée |  Récupérer au format |
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| 11th European Conference on Computer Vision, Heraklion, Crete : Greece (2010) |
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| Geodesic Shape Retrieval via Optimal Mass Transport |
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| Julien Rabin 1Gabriel Peyré 1 |
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| (05/09/2010) |
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| 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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| 1 : | CEntre de REcherches en MAthématiques de la DEcision (CEREMADE) |
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CNRS : UMR7534 – Université Paris IX - Paris Dauphine |
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| Domaine | : | Informatique/Traitement du signal et de l'image Sciences de l'ingénieur/Traitement du signal et de l'image |
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| Shape retrieval – geodesic – optimal transport – surface retrieval – Fast Marching |
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| hal-00498607, version 1 | |
| http://hal.archives-ouvertes.fr/hal-00498607 | |
| oai:hal.archives-ouvertes.fr:hal-00498607 | |
| Contributeur : Gabriel Peyré | |
| Soumis le : Mercredi 7 Juillet 2010, 22:46:12 | |
| Dernière modification le : Dimanche 2 Janvier 2011, 15:54:43 | |
