A Novel 3D Face Recognition Algorithm Using Template Based Registration Strategy and Artificial Neural Networks

  • Ben Niu
  • Simon Chi Keung Shiu
  • Sankar Kumar Pal
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3776)


In this paper, we present a novel algorithm for 3D face recognition that is robust to the rotations and translations of the face models. Based on the Iterative Closest Point algorithm, a template based registration strategy is proposed for data normalization. Back-Propagation neural networks are then constructed to perform recognition tasks. The proposed algorithm is general purpose and can be applied for common 3D object recognitions. Experimental results illustrate that the algorithm is effective and robust.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Ben Niu
    • 1
  • Simon Chi Keung Shiu
    • 1
  • Sankar Kumar Pal
    • 2
  1. 1.Department of ComputingHong Kong Polytechnic UniversityHong KongChina
  2. 2.Machine Intelligence UnitIndian Statistical InstituteKolkataIndia

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