Partial 3D Object Retrieval combining Local Shape Descriptors with Global Fisher Vectors

Eurographics DL Repository

Show simple item record Savelonas, Michalis A. en_US Pratikakis, Ioannis en_US Sfikas, Konstantinos en_US
dc.contributor.editor I. Pratikakis and M. Spagnuolo and T. Theoharis and L. Van Gool and R. Veltkamp en_US 2015-04-27T11:03:34Z 2015-04-27T11:03:34Z 2015 en_US
dc.identifier.uri en_US
dc.description.abstract This work introduces a partial 3D object retrieval method, applicable on both meshes and point clouds, which is based on a hybrid shape matching scheme combining local shape descriptors with global Fisher vectors. The differential fast point feature histogram (dFPFH) is defined so as to extend the well-known FPFH descriptor in order to capture local geometry transitions. Local shape similarity is quantified by averaging the minimum weighted distances associated with pairs of dFPFH values calculated on the partial query and the target object. Global shape similarity is derived by means of a weighted distance of Fisher vectors. Local and global distances are derived for multiple scales and are being combined to obtain a ranked list of the most similar complete 3D objects. Experiments on the large-scale benchmark dataset for partial object retrieval of the shape retrieval contest (SHREC) 2013, as well as on the publicly available Hampson pottery dataset, support improved performance of the proposed method against seven recently evaluated retrieval methods. en_US
dc.publisher The Eurographics Association en_US
dc.subject I.3.8 [Computer Graphics] en_US
dc.subject Applications en_US
dc.subject I.3.7 [Computer Graphics] en_US
dc.subject Three Dimensional Graphics and Realism en_US
dc.title Partial 3D Object Retrieval combining Local Shape Descriptors with Global Fisher Vectors en_US
dc.description.seriesinformation Eurographics Workshop on 3D Object Retrieval en_US
dc.description.sectionheaders 3D Partial Shape Matching and Retrieval en_US
dc.identifier.doi 10.2312/3dor.20151051 en_US
dc.identifier.pages 23-30 en_US

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