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Extended Fitting Methods of Active Shape Model for the Location of Facial Feature Points

  • Chunhua Du
  • Jie Yang
  • Qiang Wu
  • Tianhao Zhang
  • Huahua Wang
  • Lu Chen
  • Zheng Wu
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4338)

Abstract

In this study, we propose three extended fitting methods to the standard ASM(active shape model). Firstly, profiles are extended from 1D to 2D; Secondly, profiles of different landmarks are constructed individually; Thirdly, length of the profilesis determined adaptively with the change of level during searching, and the displacements in the last level are constrained. Each method and the combination of three methods are tested on the SJTU(Shanghai Jiaotong University) face database. In all cases, compared to the standard ASM, each method improves the accuracy or speed in a way, and the combination of three methods improves the accuracy and speed greatly.

Keywords

Average Error Local Structure Mahalanobis Distance Face Database Global Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Chunhua Du
    • 1
  • Jie Yang
    • 1
  • Qiang Wu
    • 2
  • Tianhao Zhang
    • 1
  • Huahua Wang
    • 1
  • Lu Chen
    • 1
  • Zheng Wu
    • 1
  1. 1.Institute of Image Processing and Pattern RecognitionShanghai Jiao Tong UniversityShanghaiP.R. China
  2. 2.Department of Computer SystemsUniversity of TechnologySydneyAustralia

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