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Published Articles >> Table of Contents >> Abstract
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04)
pp. 139-146
A Bayesian Framework for 3D Models Retrieval Based on Characteristic Views
Tarik Filali Ansary, MIIRE Research Group, France
Jean-Philippe Vandeborre, MIIRE Research Group, France
Said Mahmoudi, MIIRE Research Group, France
Mohamed Daoudi, MIIRE Research Group, France
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TDPVT.2004.1335187
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| Abstract |
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The management of big databases of three-dimensional
models (used in CAD applications, visualization, games,
etc.) is a very important domain. The ability to characterize and easily retrieve models is a key issue for the designers and the final users. In this frame, two main approaches exist: search by example of a three-dimensional model, and search by a 2D view. In this paper, we present a novel framework for the characterization of a 3D model by a set of
views (called characteristic views), and an indexing process
of these models with a Bayesian probabilistic approach using the characteristic views. The framework is independent from the descriptor used for the indexing. We illustrate our
results using different descriptors on a collection of threedimensional models supplied by Renault Group.
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 Additional Information
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Citation:
Tarik Filali Ansary, Jean-Philippe Vandeborre, Said Mahmoudi, Mohamed Daoudi,
"A Bayesian Framework for 3D Models Retrieval Based on Characteristic Views,"
3dpvt,
pp. 139-146,
Second International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT'04),
2004
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