• DocumentCode
    2542794
  • Title

    Shape Model´s Alignment Algorithm with Global Shear Transformation

  • Author

    Wu, Xiao-jun ; Feng, Zhen-hua

  • Author_Institution
    Sch. of Inf. Eng., Jiangnan Univ., Wuxi, China
  • fYear
    2009
  • fDate
    4-6 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    ASM (active shape model) and AAM (active appearance model) model are both parametric model based on statistics. We can locate the key points of a face by AAM model accurately. There is a shape model both in the ASM and AAM. When we build the ASM model and AAM model, we must align the shapes of the training set to a unified framework. In the original alignment process, there are only scale, rotation and translation transformation. In order to improve the accuracy of the alignment, we propose a new algorithm with shear transformation besides the original geometric transformations. At last, the experimental results indicate that the new algorithm is effective for the alignment of the shape model.
  • Keywords
    geometry; shape recognition; statistics; active appearance model; active shape model; geometric transformations; global shear transformation; shape model alignment algorithm; statistics; Active appearance model; Active contours; Active shape model; Electronic mail; Face recognition; Parametric statistics; Pattern analysis; Pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2009. CCPR 2009. Chinese Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4199-0
  • Type

    conf

  • DOI
    10.1109/CCPR.2009.5344088
  • Filename
    5344088