Multi-template ASM Method for Feature Points Detection of Facial Image with Diverse Expressions

  • Authors:
  • Ying Li;J H. Lai;Pong C. Yuen

  • Affiliations:
  • SUN YAT-SEN University, P. R. China;SUN YAT-SEN University, P. R. China;Hong Kong Baptist University, Hong Kong

  • Venue:
  • FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
  • Year:
  • 2006

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Abstract

This paper proposed a multi-template ASM algorithm addressing facial feature points detection under nonlinear shape variation of facial images with various kinds of expression. By adding texture information, adopting asymmetric sampling strategy for the feature points on outer contour of face, building multiple templates and integrating local ASM and global ASM, experimental results show that the proposed multi-template ASM algorithm outperforms traditional single template ASM.