Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors

Two-step Registration in 3D Human Body Scanning Based on Multiple RGB-D Sensors

Year:    2015

Journal of Fiber Bioengineering and Informatics, Vol. 8 (2015), Iss. 4 : pp. 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.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.3993/jfbim00171

Journal of Fiber Bioengineering and Informatics, Vol. 8 (2015), Iss. 4 : pp. 705–712

Published online:    2015-01

AMS Subject Headings:   

Copyright:    COPYRIGHT: © Global Science Press

Pages:    8

Keywords:    Body Scanning

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