Minimum Description Length Shape Model Based on Elliptic Fourier Descriptors

  • Shaoyu Wang
  • Feihu Qi
  • Huaqing Li
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3972)


This paper provides the construction of statistical shape model based on elliptic Fourier transformation and minimum description length (MDL). The method does not require manual identification of landmarks on training shapes. Each training shapes can be decomposed into a set of ellipse by elliptic Fourier transformation at a different frequency level. The MDL objective function is based on elliptic Fourier descriptors and principal component analysis (EF-PCA). Experiments show that our method can get better models.


Minimum Description Length Statistical Shape Model Shape Vector British Machine Vision Training Shape 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shaoyu Wang
    • 1
  • Feihu Qi
    • 1
  • Huaqing Li
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China

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