3D Face Recognition Based on G-H Shape Variation

  • Chenghua Xu
  • Yunhong Wang
  • Tieniu Tan
  • Long Quan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3338)

Abstract

Face recognition has been an interesting issue in pattern recognition over the past few decades. In this paper, we propose a new method for face recognition using 3D information. During preprocessing, the scanned 3D point clouds are first registered together, and at the same time, the regular meshes are generated. Then the novel shape variation representation based on Gaussian-Hermite moments (GH-SVI) is proposed to characterize an individual. Experimental results on the 3D face database 3DPEF, with complex pose and expression variations, and 3D_RMA, likely the largest 3D face database currently available, demonstrate that the proposed features are very important to characterize an individual.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Chenghua Xu
    • 1
  • Yunhong Wang
    • 1
  • Tieniu Tan
    • 1
  • Long Quan
    • 2
  1. 1.National Laboratory of Pattern Recognition, Institute of AutomationCASBeijingP. R. China
  2. 2.Department of Computer ScienceHong Kong University of Science and TechnologyKowloon, Hong Kong

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