Intelligent Estimation Method of Human Body Shape in Human Body Modeling
To solve the problems of low performance and weak applicability in shape estimation in human body modeling,an intelligent method using convolutional neural networks for human body shape estimation was proposed,and the principle of convolutional neural network framework for human body shape estimation was explored.The convolutional neural network was used for hierarchical feature extraction and multi-view fusion to estimate human shape accurately.Based on the human body model,size estimation of the three-dimensional shape of the human body was carried out to achieve fast human body shape estimation,and the estimation process was automated,resulting in relatively accurate estimation results.Research shows that this method overcomes the limitations of traditional manual measurement techniques in capturing human features,estimating human shape and posture.The results can be used for measuring human model dimensions,modeling human models in clothing virtual reality,and more.
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