A probabilistic approach for 3D shape retrieval by characteristic views

  • Authors:
  • Saïd Mahmoudi;Mohamed Daoudi

  • Affiliations:
  • Computer Science Department, Faculty of Engineering, rue de Houdain 9, Mons B-7000, Belgium;GET/TELECOM Lille1, LIFL (UMR USTL-CNRS 8022), Cité Scientifique, Rue Guglielmo MARCONI, 59658 Villeneuve d'ascq, France

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2007

Quantified Score

Hi-index 0.10

Visualization

Abstract

This work addresses the problem of 3D models retrieval and recognition using two-dimensional shape representation of 3D objects. However, the human perception of shapes is based on visual parts of objects, where a single significant visual part is sufficient to recognize the whole object. In this paper we present a shape similarity system based on the correspondence of visual 2D parts. These parts are obtained by a shape segmentation approach using the Curvature Scale Space (CSS) descriptor in order to solve scale problems. We propose to combine this partial search method with a probabilistic approach. Finally, we propose a 3D search engine based on 3D models characteristic views and a probabilistic Bayesian voting approach.