Content-Based Search for 3-D Objects

  • Authors:
  • Dejan Vranic

  • Affiliations:
  • -

  • Venue:
  • ICCIMA '01 Proceedings of the Fourth International Conference on Computational Intelligence and Multimedia Applications
  • Year:
  • 2001

Quantified Score

Hi-index 0.00

Visualization

Abstract

The topic of this paper is content-based 3D-object retrieval.The approach is based onFeature evectors, which capture 3D-shape of a model represented as triangle mesh.The feature evectors are invariant with respect to translation, rotation, scaling, and reflection and robust with respect to level-of-detail.Before the feature extraction, each3D-object is transformed (normalized) into a canonical position and orientation.The search is performed in the feature evector space in which the feature evector of a query model is used as a key.Original normalized step and feature evectors are presented in this communication.