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ICAPR
2005
Springer

3D Model Retrieval Based on Adaptive Views Clustering

10 years 4 months ago
3D Model Retrieval Based on Adaptive Views Clustering
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.
Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe
Added 27 Jun 2010
Updated 27 Jun 2010
Type Conference
Year 2005
Where ICAPR
Authors Tarik Filali Ansary, Mohamed Daoudi, Jean-Philippe Vandeborre
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