Symmetry and Fourier Descriptor: A Hybrid Feature For NURBS based B-Rep Models Retrieval
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
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.
Description
@inproceedings{10.2312:3dor.20141049http::/hdl.handle.net/10.2312/3dor.20141049.045-052,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Benjamin Bustos and Hedi Tabia and Jean-Philippe Vandeborre and Remco Veltkamp},
title = {{Symmetry and Fourier Descriptor: A Hybrid Feature For NURBS based B-Rep Models Retrieval}},
author = {Dang, Quoc Viet and Morin, Geraldine and Mouysset, Sandrine},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {1997-0463},
ISBN = {978-3-905674-58-3},
DOI = {10.2312/3dor.20141049http://hdl.handle.net/10.2312/3dor.20141049.045-052}
}