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A 3D Face Recognition Algorithm Based on Nonuniform Re-sampling Correspondence

  • Yanfeng Sun
  • Jun Wang
  • Baocai Yin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4842)

Abstract

This paper proposes an approach of face recognition using 3D face data based on Principle Component Analysis (PCA) and Linear Discriminant Analysis (LDA). This approach first aligned 3D faces based on nonuniform mesh re-sampling by computing face surface curves. This step achieves aligning of 3D prototypes based on facial features, eliminates 3D face size information and preserves important 3D face shape information in the input face. Then 2D texture information and the 3D shape information are extracted from 3D face images for recognition. Experimental results for 105 persons 3D face data set obtained by Cyberware 3030RGB/PS laser scanner have demonstrated the performance of our algorithm.

Keywords

Face Recognition Linear Discriminant Analysis Face Image Principle Component Analysis Face Segmentation 
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 2007

Authors and Affiliations

  • Yanfeng Sun
    • 1
  • Jun Wang
    • 1
  • Baocai Yin
    • 1
  1. 1.Beijing Key Laboratory of Multimedia and Intelligent Software, College of Computer Science and Technology, Beijing University of Technology, Beijing 100022China

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