A framework for 3D CAD models retrieval from 2D images

Tarik Filali Ansary (1, 2) , Jean-Philippe Vandeborre (1, 2) , Mohamed Daoudi (1, 2)

1 LIFL - FOX MIIRE
2 Institut TELECOM/TELECOM Lille1

The management of big databases of three-dimensional models (used in CAD applications, visualisation, games, etc.) is a very important domain. The ability to characterise 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 or photos. In this paper, we present a novel framework for the characterisation 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 three-dimensional models supplied by the car manufacturer Renault. We also present our results on retrieval of 3D models from a single photo.

Mots clés: 3D models; characteristic views; retrieval; photos

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Tarik Filali Ansary, Jean-Philippe Vandeborre, Mohamed Daoudi. A framework for 3D CAD models retrieval from 2D images. Annals of Telecommunications - annales des télécommunications, 2005, 60 (11-12), pp.1337-1359. ⟨hal-00666143⟩