• DocumentCode
    615366
  • Title

    Research on the secondary generation of virtual human body based on customer shape in 3d fitting system

  • Author

    Gu Yaoyuan ; Xie Hong

  • Author_Institution
    Fashion Inst., Shanghai Univ. of Eng. Sci., Shanghai, China
  • fYear
    2013
  • fDate
    26-28 April 2013
  • Firstpage
    757
  • Lastpage
    760
  • Abstract
    Through the single parameter control, the virtual person model shape change rule in V-Stitcher is found.According the rule of shape change ,put shoulder slope, chest Position, chest peak distance, abdomen, body width, hip width, upper body length, posture, para posture, Bottom Position,upper body posture parameters which from the 3 d fitting software as the output vector, the human body characteristic parameters as input vector,establishing the multiple input and single output four layers BP neural network respectively in matIab7.1.0n the basis of the training results,setting the transfer function for {tansig, logsig, purelin}, training function for {trainlm}, training step length for 1000, Ir for O.01.Using MIV to chose the most effective parameters,to establish the multiple input and single output network structure. Compeared with the model from 3d scanner ,the result indicates that this method can simulate shape feature of the human body well.
  • Keywords
    backpropagation; clothing; learning (artificial intelligence); neural nets; solid modelling; transfer functions; 3D fitting software; BP neural network; MIV; V-Stitcher; abdomen; body width; bottom position; chest peak distance; chest position; customer shape; hip width; human body characteristic parameters; input vector; output vector; para posture; put shoulder slope; secondary generation; training step length; transfer function; upper body length; upper body posture parameters; virtual person model shape change rule; Educational institutions; Training; Artificial Intelligence; BP algorithm; MIV(mean impact value); Parametric modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2013 8th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4673-4464-7
  • Type

    conf

  • DOI
    10.1109/ICCSE.2013.6554009
  • Filename
    6554009