Two-step registration in 3D human body scanning based on multiple RGB-D sensors

被引：0
作者：
Hu, Pengpeng [1 ]
Zhong, Yueqi [1 ,2 ]
Wu, Ge [1 ]
Li, Duan [1 ]
机构：
[1] College of Textiles, Donghua University, Shanghai
[2] Key Lab of Textile Science and Technology, Ministry of Education
来源：
Journal of Fiber Bioengineering and Informatics | 2015年 / 8卷 / 04期
关键词：
Body scanning; Calibration; ICP; Registration; RGB-D sensor;
D O I：
10.3993/jfbim00171
中图分类号：
O24 [计算数学];
学科分类号：
070102 ;
摘要：
In this paper, we propose a universal registration method for the body scanner consists of multiple fixed sensors. Firstly, a new double-faced checkerboard is designed to apply calibration method into the initial estimations of the relative poses of point clouds. Secondly, ICP (Iterative Closet Point) algorithm is utilized for further registration. Since ICP algorithm may fail in situations of outliers, ambiguity or missing data, we make full use of the geometry feature of creased papers to solve these problems. A new body scanning system with fast capture speed is also proposed to validate our method. The experiment results demonstrate our approach is robust and fast. © 2015 Binary Information Press & Textile Bioengineering and Informatics Society December 2015.
引用
收藏
页码：705 / 712
页数：7
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