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Volume 8, Issue 4
Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors

Pengpeng Hu, Yue-Qi Zhong, Ge Wu & Duan Li

Journal of Fiber Bioengineering & Informatics, 8 (2015), pp. 705-712.

Published online: 2015-08

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  • Abstract
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.
  • Keywords

Body Scanning RGB-D Sensor Calibration Registration ICP

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COPYRIGHT: © Global Science Press

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@Article{JFBI-8-705, author = {}, title = {Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2015}, volume = {8}, number = {4}, pages = {705--712}, abstract = {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.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbim00171}, url = {http://global-sci.org/intro/article_detail/jfbi/4752.html} }
TY - JOUR T1 - Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors JO - Journal of Fiber Bioengineering and Informatics VL - 4 SP - 705 EP - 712 PY - 2015 DA - 2015/08 SN - 8 DO - http://doi.org/10.3993/jfbim00171 UR - https://global-sci.org/intro/article_detail/jfbi/4752.html KW - Body Scanning KW - RGB-D Sensor KW - Calibration KW - Registration KW - ICP AB - 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.
Pengpeng Hu, Yue-Qi Zhong, Ge Wu & Duan Li. (2019). Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors. Journal of Fiber Bioengineering and Informatics. 8 (4). 705-712. doi:10.3993/jfbim00171
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