Feature-based similarity search in 3D object databases
ACM Computing Surveys (CSUR)
A survey of content based 3D shape retrieval methods
Multimedia Tools and Applications
Artwork 3D model database indexing and classification
Pattern Recognition
Matching 2D and 3D articulated shapes using the eccentricity transform
Computer Vision and Image Understanding
Retrieval of high-dimensional visual data: current state, trends and challenges ahead
Multimedia Tools and Applications
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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.