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3D Face Matching Using the Surface Interpenetration Measure

  • Olga R. P. Bellon
  • Luciano Silva
  • Chauã C. Queirolo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3617)

Abstract

3D face recognition has gained growing attention in the last years, mainly because both the limitations of 2D images and the advances in 3D imaging sensors. This paper proposes a novel approach to perform 3D face matching by using a new metric, called the Surface Interpenetration Measure (SIM). The experimental results include a comparison with a state-of-art work presented in the literature and show that the SIM is very discriminatory as confronted with other metrics. The experiments were performed using two different databases and the obtained results were quite similar, showing the robustness of our approach.

Keywords

Root Mean Square Error Facial Expression Face Recognition Range Image Face Match 
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 2005

Authors and Affiliations

  • Olga R. P. Bellon
    • 1
  • Luciano Silva
    • 1
  • Chauã C. Queirolo
    • 1
  1. 1.Departamento de Informática, IMAGO Research GroupUniversidade Federal do ParanáCuritibaBrasil

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