A bayesian framework for 3D models retrieval based on characteristic views

The management of big databases of three-dimensional models (used in CAD applications, visualization, games, etc.) is a very important domain. The ability to character-ize and easily retrieve models is a key issue for the designers and the final users. In this frame, two main approaches ex-ist: 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 us-ing 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 three-dimensional models supplied by Renault Group.