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| Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors |
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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.
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| Cite this article: |
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Pengpeng Hu,Yueqi Zhong,Ge Wu, et al. Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors[J]. Journal of Fiber Bioengineering and Informatics, 2015, 8(4): 705-712.
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2015, Vol. 8 
