The Bunch-Active Shape Model

  • Jingcai Fan
  • Hongxun Yao
  • Wen Gao
  • Yazhou Liu
  • Xin Liu
Conference paper

DOI: 10.1007/11573548_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3784)
Cite this paper as:
Fan J., Yao H., Gao W., Liu Y., Liu X. (2005) The Bunch-Active Shape Model. In: Tao J., Tan T., Picard R.W. (eds) Affective Computing and Intelligent Interaction. ACII 2005. Lecture Notes in Computer Science, vol 3784. Springer, Berlin, Heidelberg

Abstract

Active Shape Model (ASM) is one of the most powerful statistical tools for face image alignment. In this paper, we propose a novel method, called Bunch-Active Shape Model (Bunch-ASM), based on the standard ASM, to automatically locate facial feature points in Face Recognition. In Bunch-ASM, eyes are localized by a face detector and the matching strategy used in Elastic Bunch Graph Matching (EBGM) is introduced. Experimental results prove that the Bunch-ASM performs much better than the standard ASM and the ASM with iris-refinement.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jingcai Fan
    • 1
  • Hongxun Yao
    • 1
  • Wen Gao
    • 1
  • Yazhou Liu
    • 1
  • Xin Liu
    • 1
  1. 1.School of Computer Science and TechnologyHarbin Institute of TechnologyHarbinChina

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