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

机译:3d拟合系统中基于客户形状的虚拟人体二次生成研究

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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.
机译:通过单参数控制,可以找到V-Stitcher中虚拟人模型的形状变化规则。根据形状变化规则,放置肩膀倾斜度,胸部位置,胸部峰值距离,腹部,身体宽度,臀部宽度,上身长度,姿势,对位姿势,下位姿势,上身姿势参数,以3 d拟合软件为输出向量,以人体特征参数为输入向量,在matIab7.1.0中分别建立了多输入和单输出四层BP神经网络。在训练结果的基础上,设置{tansig,logsig,purelin}的传递函数,{trainlm}的训练函数,1000的训练步长,O.01的Ir。使用MIV选择最有效的参数来建立多输入单输出网络结构。通过3d扫描仪的模型验证,结果表明该方法可以很好地模拟人体的形状特征。

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