Lip contour extraction using level set curve evolution with shape constraint

  • Authors:
  • Jae Sik Chang;Eun Yi Kim;Se Hyun Park

  • Affiliations:
  • Computer Science Dept., University of California, Santa Barbara, CA;School of Internet and Multimedia, Next-Generation Innovative Technology Research Institute, Konkuk Univ., Seoul, Korea;School of Computer and Communication, Daegu Univ., Daegu, Korea

  • Venue:
  • HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
  • Year:
  • 2007

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Abstract

In this work, a novel method for lip contour extraction based on level set curve evolution is presented. This method takes not only color information but also lip contour shape constraint represented by a distance function between the evolving curve and parametric shape model. In this method, the curve is evolved by minimizing an energy function that incorporates shape constraint function as internal energy, while previous curve evolution methods use a simple smoothing function. The new shape constraint function prevents the curve from evolving to arbitrary shapes occurred due to weak color contrast between lip and skin regions. Comparisons with other method are conducted to evaluate the proposed method. It showed that the proposed method provides more accurate results than other methods.