Research on subdividing of human body recognition based on 3D body measurement

A non-contact 3D body measurement system was used to perform measurements of young females from north China,and the measured data included the size of shoulder,bust,and hip width etc.These dimensions are used as eigenvalues,constitute feature vectors of bodily form.In recent years,excessive uncoordinated sizes of partial body appeared in Chinese people.So it′s important to detail the human body segment recognition.First,the probability distributions of certain feature size were investigated,and then the human bodily forms were divided into three types of underweight,normal,overweight,using clustering analysis of K-mean.Finally,it is suggested to use Mahalanobis Distance to analyze the problem of body symmetry.The experimental results demonstrate that this method is effective for detailing the human body segment recognition.