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Abstract A method of 3D human body modeling was presented. The model of fourlayer feed forward BP(backpropagation) neural network was given. By making use of scanned body data, cutting planes were allocated to get the feature points of section contours of scanned body, and the training samples of the neck, bust, waist and hip were obtained. The weight and the feature curve modeling of the neck, bust, waist and hip can be got respectively after training. Based on section loops which generate from neural network, a 3D manikin was regenerated. Finally, the error analysis was done and the results show that the method can approach the real human body feature curve. It is an effective modeling way for the human body.
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Received: 17 December 2007
Published: 28 October 2008
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Corresponding Authors:
LU Guo-dong
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