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Geodesic Shape Retrieval via Optimal Mass Transport

Rabin, Julien; Peyré, Gabriel; Cohen, Laurent D. (2010), Geodesic Shape Retrieval via Optimal Mass Transport, in Kostas Daniilidis, Petros Maragos, Nikos Paragios, Computer Vision – ECCV 2010. 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V, Springer Berlin Heidelberg, p. 771-784. 10.1007/978-3-642-15555-0_56

Type
Communication / Conférence
External document link
https://hal.archives-ouvertes.fr/hal-00498607
Date
2010
Conference title
11th European Conference on Computer Vision – ECCV 2010
Conference date
2010-09
Conference city
Heraklion (Crète)
Conference country
Greece
Book title
Computer Vision – ECCV 2010. 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V
Book author
Kostas Daniilidis, Petros Maragos, Nikos Paragios
Publisher
Springer Berlin Heidelberg
ISBN
978-3-642-15554-3
Pages
771-784
Publication identifier
Metadata
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Author(s)
Rabin, Julien cc

Peyré, Gabriel

Cohen, Laurent D.
Abstract (EN)
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.
Subjects / Keywords
2-D and 3-D shape retrieval