A study on improving the calibration of body scanner built on multiple RGB-Depth cameras

作者：Wu, Ge; Li, Duan; Zhong, Yueqi^*; Hu, PengPeng

来源：International Journal of Clothing Science and Technology, 2017, 29(3): 314-329.

DOI：10.1108/IJCST-05-2016-0051

• Iterative closest point
• Laplace coordinates
• RGB-Depth camera
• Virtual checkerboard

Purpose - The calibration is a key but cumbersome process for 3D body scanning using multiple depth cameras. The purpose of this paper is to simplify the calibration process by introducing a new method to calibrate the extrinsic parameters of multiple depth cameras simultaneously.
Design/methodology/approach - An improved method is introduced to enhance the accuracy based on the virtual checkerboards. Laplace coordinates are employed for a point-to-point adjustment to increase the accuracy of scanned data. A system with eight depth cameras is developed for full-body scanning, and the performance of this system is verified by actual results.
Findings - The agreement of measurements between scanned human bodies and the real subjects demonstrates the accuracy of the proposed method. The entire calibration process is automatic.
Originality/value - A complete algorithm for a full human body scanning system is introduced in this paper. This is the first publically study on the refinement and the point-by-point adjustment based on the virtual checkerboards toward the scanning accuracy enhancement.

• 出版日期2017
• 单位东华大学