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
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