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Communication Dans Un Congrès Année : 2014

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

Résumé

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.
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Dates et versions

hal-01188255 , version 1 (28-08-2015)

Identifiants

  • HAL Id : hal-01188255 , version 1
  • OATAO : 13002

Citer

Quoc Viet Dang, Géraldine Morin, Sandrine Mouysset. Symmetry and Fourier descriptor : a hybrid feature for NURBS based B-Rep models retrieval. Eurographics Workshop on 3D Object Retrieval (3DOR 2014), Apr 2014, Strasbourg, France. pp. 45-52. ⟨hal-01188255⟩
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