Manifold Harmonic Transform and Spatial Relationships for Partial 3D Object Retrieval

dc.contributor.authorHoang, Nguyen Vuen_US
dc.contributor.authorGouet-Brunet, Valérieen_US
dc.contributor.editorBenjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkampen_US
dc.date.accessioned2014-12-15T13:52:06Z
dc.date.available2014-12-15T13:52:06Z
dc.date.issued2014en_US
dc.description.abstractThis paper presents an approach for 3D object retrieval, dedicated to partial shape retrieval in large datasets. A word manipulation, i.e. quantized descriptors, as in the Bag-of-Words representation is employed, based on the extraction of 3D Harris points and on a local description involving local manifold harmonic transform. By adding Δ-TSR, a triangular spatial information between words, the richness and robustness of this representation is reinforced. The approach is invariant to different geometrical transformations of 3D shape such as translation, rotation, scale and robust to shape resolution changes. We have evaluated it in terms of quality of retrieval, facing several state-of-the-art methods and on different public 3D benchmarks involving different contents and degrees of complexity.en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-58-3en_US
dc.identifier.issn1997-0463en_US
dc.identifier.urihttps://doi.org/10.2312/3dor.20141048en_US
dc.identifier.urihttps://diglib.eg.org/handle/10.2312/3dor.20141048.037-044
dc.publisherThe Eurographics Associationen_US
dc.subjectModeling [Computer Graphics]en_US
dc.subject3D Shape Matchingen_US
dc.subjectRepresentationsen_US
dc.subjectdata structuresen_US
dc.subjecttransformsen_US
dc.titleManifold Harmonic Transform and Spatial Relationships for Partial 3D Object Retrievalen_US
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