Constraint Shape Model Using Edge Constraint and Gabor Wavelet Based Search

  • Baochang Zhang
  • Wen Gao
  • Shiguang Shan
  • Wei Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2688)


Constraint Shape Model is proposed to extract facial feature using two different search methods for contour points and control points individually. In the proposed algorithm, salient facial features, such as the eyes and the mouth, are first localized and utilized to initialize the shape model and provide region constraints on iterative shape searching. For the landmarks on the face contour, the edge intensity is exploited to construct better local texture matching models. Moreover, for control points, the proposed Gabor wavelet based method is used to search it by multi-frequency strategy. To test the proposed approaches, on a database containing 500 labeled face images, experiments are conducted, which shows that the proposed method performs significantly better in terms of a deliberate performance evaluation method. The proposed method can be easily used to other texture objects, which is robust to variations in illumination and facial expression.


Shape Model Gabor Wavelet Facial Feature Extraction 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Baochang Zhang
    • 1
  • Wen Gao
    • 1
    • 2
  • Shiguang Shan
    • 2
  • Wei Wang
    • 3
  1. 1.Computer CollegeHarbin Institute of TechnologyHarbinChina
  2. 2.ICT-YCNC FRJDLInstitute of Computing Technology CASBeijingChina
  3. 3.College of Computer ScienceBeijing Polytechnic UniversityBeijingChina

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