A Bayesian 3-D Search Engine Using Adaptive Views Clustering

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

Document type :

Article dans une revue scientifique

DOI :

10.1109/TMM.2006.886359

Title :

A Bayesian 3-D Search Engine Using Adaptive Views Clustering

Author(s) :

Filali Ansary, Tarik [Auteur]
FOX MIIRE [LIFL]
Daoudi, Mohamed [Auteur]
FOX MIIRE [LIFL]
Vandeborre, Jean-Philippe [Auteur correspondant]

FOX MIIRE [LIFL]

Journal title :

IEEE Transactions on Multimedia

Pages :

78-88

Publisher :

Institute of Electrical and Electronics Engineers

Publication date :

2007-01

ISSN :

1520-9210

English keyword(s) :

Bayesian approach
clustering
3-D indexing
3-D retrieval
views

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 three-dimensional (3-D)-model indexing based on two-dimensional (2-D) views, which we call adaptive views clustering (AVC). The goal of this method is to provide an "optimal" selection ...
Show more >In this paper, we propose a method for three-dimensional (3-D)-model indexing based on two-dimensional (2-D) views, which we call adaptive views clustering (AVC). The goal of this method is to provide an "optimal" selection of 2-D views from a 3-D model, and a probabilistic Bayesian method for 3-D-model retrieval from these views. The characteristic view selection algorithm is based on an adaptive clustering algorithm and uses statistical model distribution scores to select the optimal number of views. Starting from the fact that all views do not have equal importance, we also introduce a novel Bayesian approach to improve the retrieval. Finally, we present our results and compare our method to some state-of-the-art 3-D retrieval descriptors on the Princeton 3-D Shape Benchmark database and a 3-D-CAD-models database supplied by the car manufacturer Renault.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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