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用于评估人类肥胖的三维表面成像系统。

Three-dimensional surface imaging system for assessing human obesity.

作者信息

Xu Bugao, Yu Wurong, Yao Ming, Pepper M Reese, Freeland-Graves Jeanne H

机构信息

The University of Texas at Austin, School of Human Ecology, 1 University Station, GEA 117/A2700, Austin, Texas 78712.

出版信息

Opt Eng. 2009 Oct 1;48(10):nihpa156427. doi: 10.1117/1.3250191.

Abstract

The increasing prevalence of obesity suggests a need to develop a convenient, reliable, and economical tool for assessment of this condition. Three-dimensional (3-D) body surface imaging has emerged as an exciting technology for the estimation of body composition. We present a new 3-D body imaging system, which is designed for enhanced portability, affordability, and functionality. In this system, stereo vision technology is used to satisfy the requirement for a simple hardware setup and fast image acquisition. The portability of the system is created via a two-stand configuration, and the accuracy of body volume measurements is improved by customizing stereo matching and surface reconstruction algorithms that target specific problems in 3-D body imaging. Body measurement functions dedicated to body composition assessment also are developed. The overall performance of the system is evaluated in human subjects by comparison to other conventional anthropometric methods, as well as air displacement plethysmography, for body fat assessment.

摘要

肥胖患病率的不断上升表明,需要开发一种方便、可靠且经济的工具来评估这种状况。三维(3-D)体表成像已成为一种用于估计身体成分的令人兴奋的技术。我们提出了一种新的3-D人体成像系统,该系统旨在提高便携性、可承受性和功能性。在该系统中,立体视觉技术用于满足简单硬件设置和快速图像采集的要求。该系统的便携性通过双支架配置实现,并且通过定制针对3-D人体成像中特定问题的立体匹配和表面重建算法,提高了人体体积测量的准确性。还开发了专门用于身体成分评估的身体测量功能。通过与其他传统人体测量方法以及用于身体脂肪评估的空气置换体积描记法进行比较,在人体受试者中评估了该系统的整体性能。

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