3D Model Retrieval based on Adaptive Views Clustering

Filali Ansary, Tarik; Daoudi, Mohamed; Vandeborre, Jean Philippe

Document type :

Communication dans un congrès avec actes

Title :

3D Model Retrieval based on Adaptive Views Clustering

Author(s) :

Filali Ansary, Tarik [Auteur]
FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1
Daoudi, Mohamed [Auteur]

Institut TELECOM/TELECOM Lille1
FOX MIIRE [LIFL]
Vandeborre, Jean Philippe [Auteur correspondant]

FOX MIIRE [LIFL]
Institut TELECOM/TELECOM Lille1

Conference title :

3rd International Conference on Advances in Pattern Recognition (ICAPR 2005)

City :

Bath

Country :

Royaume-Uni

Start date of the conference :

2005-08-22

Book title :

3rd International Conference on Advances in Pattern Recognition (ICAPR 2005)

Publication date :

2005-08-22

English keyword(s) :

3D-model retrieval
indexing
bayesian probabilities

HAL domain(s) :

Informatique [cs]/Vision par ordinateur et reconnaissance de formes [cs.CV]

English abstract : [en]

In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D views from a 3D model, and a probabilistic ...
Show more >In this paper, we propose a method for 3D model indexing based on 2D views, named AVC (Adaptive Views Clustering). The goal of this method is to provide an optimal selection of 2D views from a 3D model, and a probabilistic Bayesian method for 3D model retrieval from these views. The characteristic views selection algorithm is based on an adaptive clustering algorithm and using statistical model distribution scores to select the optimal number of views. Starting from the fact that all views do not contain the same amount of information, we also introduce a novel Bayesian approach to improve the retrieval. We finally present our results and compare our method to some state of the art 3D retrieval descriptors on the Princeton 3D Shape Benchmark database.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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