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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2008-05-01


    Size :

    375000 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Underwater human body detector based on neural network identification

    REN YUANHUA | European Patent Office | 2015

    Free access

    Underwater human body detecting method based on neural network identification

    REN YUANHUA | European Patent Office | 2015

    Free access

    Human body feature detection device and method

    ZHOU XIAO | European Patent Office | 2023

    Free access

    Mathematical Human Body Modelling for Impact Loading

    Wismans, J. / Morsink, P. / Happee, R. | SAE Technical Papers | 1999


    Human body modelling for traffic accident analysis

    Krasna, S. | Online Contents | 2007