@Article{JFBI-8-705,
author = {Pengpeng Hu, Yue-Qi Zhong, Ge Wu and Duan Li},
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}
}