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Face Representation Method Using Pixel-to-Vertex Map (PVM) for 3D Model Based Face Recognition

  • Taehwa Hong
  • Hagbae Kim
  • Hyeonjoon Moon
  • Yongguk Kim
  • Jongweon Lee
  • Seungbin Moon
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3979)

Abstract

3D model based approach for face recognition has been spotlighted as a robust solution under variant conditions of pose and illumination. Since a generative 3D face model consists of a large number of vertices, a 3D model based face recognition system is generally inefficient in computation time. In this paper, we propose a novel 3D face representation algorithm to reduce the number of vertices and optimize its computation time. Finally, we evaluate the performance of proposed algorithm with the Korean face database collected using a stereo-camera based 3D face capturing device.

Keywords

Face Recognition Singular Value Decomposition Iterative Close Point Texture Coefficient Structure From Motion 
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 2006

Authors and Affiliations

  • Taehwa Hong
    • 1
  • Hagbae Kim
    • 1
  • Hyeonjoon Moon
    • 2
  • Yongguk Kim
    • 2
  • Jongweon Lee
    • 2
  • Seungbin Moon
    • 2
  1. 1.Department of Electrical and Electronic EngineeringYonsei UniversitySeoulKorea
  2. 2.School of Computer EngineeringSejong UniversitySeoulKorea

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