A study on improving the calibration of body scanner built on multiple RGB-Depth cameras. Issue 3 (5th June 2017)

• Record Type: Journal Article
• Authors: Wu, Ge; Li, Duan; Zhong, Yueqi; Hu, PengPeng
• Is Part Of: International journal of clothing science and technology. Volume 29:Issue 3(2017)
• Page Start: 314
• Page End: 329
• Publication Date: 2017-06-05
• Subjects: Iterative closest point -- Laplace coordinates -- RGB-Depth camera -- Virtual checkerboard; Clothing and dress -- Periodicals; Textile fabrics -- Periodicals; 677
• DOI: 10.1108/IJCST-05-2016-0051
• Languages: English
• ISSNs: 0955-6222

Abstract

Abstract : 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.