A 3-D Search engine based on Fourier series
Document type :
Article dans une revue scientifique: Article original
Title :
A 3-D Search engine based on Fourier series
Author(s) :
Ait Lmaati, Elmustapha [Auteur]
Faculté des Sciences Semlalia [Marrakech]
El Oirrak, Ahmed [Auteur]
Faculté des Sciences Semlalia [Marrakech]
Daoudi, Mohamed [Auteur]
Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Aboutajdine, Driss [Auteur]
Laboratoire de Recherche en Informatique et Télécommunications [Rabat] [GSCM-LRIT]
Kaddioui, Mohammed [Auteur]
Faculté des Sciences Semlalia [Marrakech]
Faculté des Sciences Semlalia [Marrakech]
El Oirrak, Ahmed [Auteur]
Faculté des Sciences Semlalia [Marrakech]
Daoudi, Mohamed [Auteur]

Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Aboutajdine, Driss [Auteur]
Laboratoire de Recherche en Informatique et Télécommunications [Rabat] [GSCM-LRIT]
Kaddioui, Mohammed [Auteur]
Faculté des Sciences Semlalia [Marrakech]
Journal title :
Computer Vision and Image Understanding
Pages :
1-7
Publisher :
Elsevier
Publication date :
2010
ISSN :
1077-3142
English keyword(s) :
3-D models
3-D curve
Polygonal mesh
Fourier series
3-D search engine
3-D curve
Polygonal mesh
Fourier series
3-D search engine
HAL domain(s) :
Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]
English abstract : [en]
The size of 3-D data stored around the Web has become bigger. Therefore the development of recognition applications and retrieval systems of 3-D models is important. In this paper we propose a new scheme to measure similarity ...
Show more >The size of 3-D data stored around the Web has become bigger. Therefore the development of recognition applications and retrieval systems of 3-D models is important. In this paper we propose a new scheme to measure similarity between 3-D models. The main idea is to reconstruct a 3-D closed curve that represents a 3-D model given by a polygonal mesh, and to extract a signature from this 3-D closed curve using the Fourier series. The proposed descriptor needs continuous principal component analysis (CPCA) to align 3-D models into a canonical position. The feature vectors constructed using this method, named Fourier series descriptor (FSD) are invariants under rigid transformations composed of translation, rotation, flipping and scale; robust to noise and level of detail. A 3-D polygonal mesh model serves as a query for search by shape similarity in a large collection of 3-D models database using an interactive 3-D search engine.Show less >
Show more >The size of 3-D data stored around the Web has become bigger. Therefore the development of recognition applications and retrieval systems of 3-D models is important. In this paper we propose a new scheme to measure similarity between 3-D models. The main idea is to reconstruct a 3-D closed curve that represents a 3-D model given by a polygonal mesh, and to extract a signature from this 3-D closed curve using the Fourier series. The proposed descriptor needs continuous principal component analysis (CPCA) to align 3-D models into a canonical position. The feature vectors constructed using this method, named Fourier series descriptor (FSD) are invariants under rigid transformations composed of translation, rotation, flipping and scale; robust to noise and level of detail. A 3-D polygonal mesh model serves as a query for search by shape similarity in a large collection of 3-D models database using an interactive 3-D search engine.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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