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
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