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Article: A Fast Modal Space Transform for Robust Nonrigid Shape Retrieval

TitleA Fast Modal Space Transform for Robust Nonrigid Shape Retrieval
Authors
Issue Date2016
PublisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htm
Citation
The Visual Computer, 2016, v. 32 n. 5, p. 553-568 How to Cite?
AbstractNonrigid or deformable 3D objects are common in many application domains. Retrieval of such objects in large databases based on shape similarity is still a challenging problem. In this paper, we take advantages of functional operators as characterizations of shape deformation, and further propose a framework to design novel shape signatures for encoding nonrigid geometries. Our approach constructs a context-aware integral kernel operator on a manifold, then applies modal analysis to map this operator into a low-frequency functional representation, called fast functional transform, and finally computes its spectrum as the shape signature. In a nutshell, our method is fast, isometry-invariant, discriminative, smooth and numerically stable with respect to multiple types of perturbations. Experimental results demonstrate that our new shape signature for nonrigid objects can outperform all methods participating in the nonrigid track of the SHREC’11 contest. It is also the second best performing method in the real human model track of SHREC’14.
Persistent Identifierhttp://hdl.handle.net/10722/215522
ISSN
2015 Impact Factor: 1.06
2015 SCImago Journal Rankings: 0.560

 

DC FieldValueLanguage
dc.contributor.authorYe, J-
dc.contributor.authorYu, Y-
dc.date.accessioned2015-08-21T13:28:51Z-
dc.date.available2015-08-21T13:28:51Z-
dc.date.issued2016-
dc.identifier.citationThe Visual Computer, 2016, v. 32 n. 5, p. 553-568-
dc.identifier.issn0178-2789-
dc.identifier.urihttp://hdl.handle.net/10722/215522-
dc.description.abstractNonrigid or deformable 3D objects are common in many application domains. Retrieval of such objects in large databases based on shape similarity is still a challenging problem. In this paper, we take advantages of functional operators as characterizations of shape deformation, and further propose a framework to design novel shape signatures for encoding nonrigid geometries. Our approach constructs a context-aware integral kernel operator on a manifold, then applies modal analysis to map this operator into a low-frequency functional representation, called fast functional transform, and finally computes its spectrum as the shape signature. In a nutshell, our method is fast, isometry-invariant, discriminative, smooth and numerically stable with respect to multiple types of perturbations. Experimental results demonstrate that our new shape signature for nonrigid objects can outperform all methods participating in the nonrigid track of the SHREC’11 contest. It is also the second best performing method in the real human model track of SHREC’14.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://link.springer.de/link/service/journals/00371/index.htm-
dc.relation.ispartofThe Visual Computer-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/10.1007/s00371-015-1071-5-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleA Fast Modal Space Transform for Robust Nonrigid Shape Retrieval-
dc.typeArticle-
dc.identifier.emailYu, Y: yzyu@cs.hku.hk-
dc.identifier.authorityYu, Y=rp01415-
dc.description.naturepostprint-
dc.identifier.doi10.1007/s00371-015-1071-5-
dc.identifier.hkuros249504-
dc.identifier.volume32-
dc.identifier.issue5-
dc.identifier.spage553-
dc.identifier.epage568-
dc.publisher.placeGermany-

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