单目深度摄像头下的人体尺寸的自动测量方法  

Method of Automatic Measurement of Human Size Based on Depth Camera

作　　者：刘婷 彭晓羽[1,3] 谭小慧 LIU Ting;PENG Xiao-yu;TAN Xiao-hui(School of Information Science and Technology,Capital Normal University,Beijing 100048,China;Electronic System Reliability and Mathematical Interdisciplinary National International Science and Technology Cooperation Demonstration Base,CapitalNormal University,Beijing 100048,China;Beijing Imaging Theory and Technology High-tech Innovation Center,School of Information Science and Technology,Capital Normal University,Beijing100048,China)

机构地区：[1]首都师范大学信息工程学院,北京100048 [2]首都师范大学电子系统可靠性与数理交叉学科国家国际科技合作示范型基地,北京100048 [3]首都师范大学北京成像理论与技术高精尖创新中心首都师范大学信息工程学院,北京100048

出　　处：《小型微型计算机系统》2019年第10期2202-2208,共7页Journal of Chinese Computer Systems

基　　金：国家自然科学基金项目(61602324)资助;浙江大学CAD&CG国家重点实验室开放课题项目(A1914)资助

摘　　要：为了解决在虚拟试衣等相关应用中个性化服装定制获取人体尺寸数据难以精确的问题.本文提出了一种自动测量人体尺寸的方法.首先建立基于尺度不变的特征描述子和热传播的测地距离关系的随机森林回归模型,根据投票策略预测预定义的人体关键特征点的位置;随后,将预测所得的关键特征点作为测量人体尺寸的源点,利用深度优先遍历的思想,获取以源点为根节点的邻近点的最短路径;最后,自动计算最短路径的测地距离.实验结果表明本文的方法对不同体型和不同姿态的三维人体模型能够准确地和鲁棒地进行提取关键特征点和测量尺寸.因此本文的特征点提取对人体模型的噪声和孔洞不敏感.从测量结果可知本文测量人体尺寸的相对误差的范围在0. 075~0. 001.It is difficult to accurately acquire the personal body size by non-contact measurement methods,especially for clothing customization virtual fitting and other related applications. To meet the challenge,in this paper,automatic body size measurement method based on geodesic distance is proposed. Firstly,a random forest regression model is established describing the relationship between scale-invariant feature descriptors and geodesic distances. According to the voting strategy,the location of predefined human focal feature points can be predicted accurately. Subsequently,the predicted focal feature points are used as the key points for the measurement of the 3 D human body. With the idea of depth-first traversal,a method for calculating the geodesic distance is constructed,and finally the size of the human body is automatically obtained according to the accurate position of the feature points. The experimental results show that the proposed method can accurately and robustly extract focal feature points and measure different 3 D human body shapes and styles. Therefore,the feature point extraction in this paper is not sensitive to the noise and holes. From the measurement results,the relative error of measuring 3 D human body size is in the range of 0. 075 ~ 0. 001.

关 键 词：热核特征描述符 随机森林回归 人体关键特征点 人体尺寸测量 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]