• DocumentCode
    2151120
  • Title

    Human Body Feature Curve Generating Method Based on Neural Network for 3D Human Body Modelling

  • Author

    Lu, Guo-Dong ; Deng, Wei-Yan

  • Volume
    2
  • fYear
    2008
  • fDate
    27-30 May 2008
  • Firstpage
    758
  • Lastpage
    762
  • Abstract
    This paper presents a method of human body feature curve generating for 3D (three dimensional) human modeling. In the proposed approach, the model of four-layer feed forward BP(back-propagation) neural network is given, by making use of the real human body data, the training samples of the neck, bust, waist and hip are obtained. The weight and the feature curve modeling of the neck, bust, waist and hip can be got respectively after training. Finally, the error analysis is done and the results show that the method can approach the real human body feature curve. Thus it is an effective modelling way for the human body feature curve generating.
  • Keywords
    Biological system modeling; Feedforward neural networks; Feedforward systems; Hip; Humans; Multi-layer neural network; Neck; Neural networks; Signal generators; Signal processing; back propagation (BP) algorithm; human body feature curve; neural network; three-dimension (3D) human body modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2008. CISP '08. Congress on
  • Conference_Location
    Sanya, China
  • Print_ISBN
    978-0-7695-3119-9
  • Type

    conf

  • DOI
    10.1109/CISP.2008.343
  • Filename
    4566406