3D Face Recognition Based on Facial Shape Indexes with Dynamic Programming

  • Hwanjong Song
  • Ukil Yang
  • Sangyoun Lee
  • Kwanghoon Sohn
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

This paper describes a 3D face recognition method using facial shape indexes. Given an unknown range image, we extract invariant facial features based on the facial geometry. We estimate the 3D head pose using the proposed error compensated SVD method. For face recognition method, we define and extract facial shape indexes based on facial curvature characteristics and perform dynamic programming. Experimental results show that the proposed method is capable of determining the angle of faces accurately over a wide range of poses. In addition, 96.8% face recognition rate has been achieved based on the proposed method with 300 individuals with seven different poses.

Keywords

Face Recognition Singular Value Decomposition Shape Index Range Image Singular Value Decomposition Method 
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

  • Hwanjong Song
    • 1
  • Ukil Yang
    • 1
  • Sangyoun Lee
    • 1
  • Kwanghoon Sohn
    • 1
  1. 1.Biometrics Engineering Research Center, Dept. of Electrical & Electronic Eng.Yonsei UniversitySeoulKorea

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