体表特征参数对远程人体测量精度的影响

Influence of characteristic parameters of body surface on long-range body measurement precision

尺寸提取精度是远程人体测量系统的重要问题,影响它的推广和用户体验。为提高测量系统的精准度,文章首先从图像校正、图像轮廓、特征尺寸提取方面分析系统的构建,再研究在不同体表特征参数对远程人体测量精度的影响。以255名在校男大学生为研究对象,选用体表角度、围度宽厚比、裆底高/身高对其进行体型分类。采用人体特征点高度与身高比值的定位方法,从人体正侧面图像提取高度、宽度、厚度等相关数据,然后进行围度尺寸的预测分析。结果表明,基于人体围度宽厚比分类的测量系统围度预测更为准确,也证明了远程人体测量的可行性。

The accuracy of measurement extraction is the main factor affecting promotion and user experience of the long-range body measurement system.In order to improve the prediction accuracy,this paper firstly analyzed the construction of the system from image correction,image contour and feature size extraction.Then,the influence of different parameters of body surface characteristics on long-range body measurement precision was studied.255 young male students were selected as research subjects and somatotyped according to the body-surface angle,the ratio of girth width and thickness,and the ratio of crotch height and body height.The positioning method of specific value between the height of feature points of human body and stature was used to extract height,width,thickness and other relevant data from the front and side photos of human body,and then the girth size was predicted and analyzed.The results show that the measurement system based on the ratio of girth,width and thickness is more accurate.Meanwhile,the feasibility of the long-range body measurement method was demonstrated.