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Symmetry and Fourier descriptor : a hybrid feature for NURBS based B-Rep models retrieval

Dang, Quoc Viet and Morin, Géraldine and Mouysset, Sandrine Symmetry and Fourier descriptor : a hybrid feature for NURBS based B-Rep models retrieval. (2014) In: Eurographics Workshop on 3D Object Retrieval (3DOR 2014), 6 April 2014 (Strasbourg, France).

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Official URL: http://dx.doi.org/10.2312/3dor.20141049


As the number of models in 3D databases grows, an efficient 3D models indexing mechanism and a similarity measure to ease model retrieval are necessary. In this paper, we present a query-by-model framework for NURBS based B-Rep models retrieval that combines partial symmetry of the object and the Fourier shape descriptor of canonical 2D projections of the 3D models. In fact, most objects are composed by similar parts up to an isometry. By detecting the dominant partial symmetry of a given NURBS based B-Rep model, we define two canonical planes from which the Fourier descriptors are extracted to measure the similarity among 3D models.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Eurographics editor. This papers appears in 3DOR 14 ; ISSN : 1997-0463 ; ISBN: 978-3-905674-58-3 The original PDF is available at : https://diglib.eg.org/handle/10.2312/3dor.20141049.045-052
HAL Id:hal-01188255
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - INPT (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Paul Sabatier-Toulouse III - UPS (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université de Toulouse I-Sciences Sociales - UT1 (FRANCE)
Laboratory name:
Deposited By: IRIT IRIT
Deposited On:07 Jul 2015 10:05

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