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Expression-Invariant 3D Face Recognition

  • Alexander M. Bronstein
  • Michael M. Bronstein
  • Ron Kimmel
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)

Abstract

We present a novel 3D face recognition approach based on geometric invariants introduced by Elad and Kimmel. The key idea of the proposed algorithm is a representation of the facial surface, invariant to isometric deformations, such as those resulting from different expressions and postures of the face. The obtained geometric invariants allow mapping 2D facial texture images into special images that incorporate the 3D geometry of the face. These signature images are then decomposed into their principal components. The result is an efficient and accurate face recognition algorithm that is robust to facial expressions. We demonstrate the results of our method and compare it to existing 2D and 3D face recognition algorithms.

Keywords

Face Recognition Range Image Facial Surface Geometric Invariant Face Recognition Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Alexander M. Bronstein
    • 1
  • Michael M. Bronstein
    • 1
  • Ron Kimmel
    • 2
  1. 1.Department of Electrical EngineeringTechnion - Israel Institute of TechnologyHaifaIsrael
  2. 2.Department of Computer ScienceTechnion - Israel Institute of TechnologyHaifaIsrael

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