This paper presents the integration and evaluation of two popular camera calibration techniques for multi-camera vision system development for motion capture. An integrated calibration technique for multi-camera vision systems has been developed. To demonstrate and evaluate this calibration technique, multiple Wii Remotes (Wiimotes) from Nintendo were used to form a vision system to perform 3D motion capture in real time. This integrated technique is a two-step process: it first calibrates the intrinsic parameters of each camera using Zhang’s algorithm [5] and then calibrates the extrinsic parameters of the cameras together using Svoboda’s algorithm [9]. Computer software has been developed for implementation of the integrated technique, and experiments carried out using this technique to perform motion capture with Wiimotes show a significant improvement in the measurement accuracy over the existing calibration techniques.
Skip Nav Destination
ASME 2010 World Conference on Innovative Virtual Reality
May 12–14, 2010
Ames, Iowa, USA
Conference Sponsors:
- Design Engineering Division and Computers and Information in Engineering Division
ISBN:
978-0-7918-4908-8
PROCEEDINGS PAPER
An Integrated Calibration Technique for Multi-Camera Vision Systems
Anup M. Vader,
Anup M. Vader
Missouri University of Science & Technology, Rolla, MO
Search for other works by this author on:
Abhinav Chadda,
Abhinav Chadda
Missouri University of Science & Technology, Rolla, MO
Search for other works by this author on:
Wenjuan Zhu,
Wenjuan Zhu
Missouri University of Science & Technology, Rolla, MO
Search for other works by this author on:
Ming C. Leu,
Ming C. Leu
Missouri University of Science & Technology, Rolla, MO
Search for other works by this author on:
Xiaoqing F. Liu,
Xiaoqing F. Liu
Missouri University of Science & Technology, Rolla, MO
Search for other works by this author on:
Jonathan B. Vance
Jonathan B. Vance
Boeing Research & Technology, St. Louis, MO
Search for other works by this author on:
Anup M. Vader
Missouri University of Science & Technology, Rolla, MO
Abhinav Chadda
Missouri University of Science & Technology, Rolla, MO
Wenjuan Zhu
Missouri University of Science & Technology, Rolla, MO
Ming C. Leu
Missouri University of Science & Technology, Rolla, MO
Xiaoqing F. Liu
Missouri University of Science & Technology, Rolla, MO
Jonathan B. Vance
Boeing Research & Technology, St. Louis, MO
Paper No:
WINVR2010-3732, pp. 267-274; 8 pages
Published Online:
October 28, 2010
Citation
Vader, AM, Chadda, A, Zhu, W, Leu, MC, Liu, XF, & Vance, JB. "An Integrated Calibration Technique for Multi-Camera Vision Systems." Proceedings of the ASME 2010 World Conference on Innovative Virtual Reality. ASME 2010 World Conference on Innovative Virtual Reality. Ames, Iowa, USA. May 12–14, 2010. pp. 267-274. ASME. https://doi.org/10.1115/WINVR2010-3732
Download citation file:
11
Views
Related Proceedings Papers
Related Articles
Solving the Robot-World/Hand-Eye Calibration Problem Using the Kronecker Product
J. Mechanisms Robotics (August,2013)
Probabilistic Approach to Modeling of 3D Objects using Silhouettes
J. Comput. Inf. Sci. Eng (December,2006)
Effect of Calibration Error on Bone Tracking Accuracy With Fluoroscopy
J Biomech Eng (May,2014)
Related Chapters
Getting Ready and Staying Ready: Preparation, Verification, and Maintenance of Apparatus
The Practice of Flash Point Determination: A Laboratory Resource
A Vision-Based Kinematic Calibration for Pick-and-Place Robot
International Conference on Information Technology and Management Engineering (ITME 2011)
A Nonlinear Background Calibration Technique Foranalog-To-Digital Converters
International Conference on Instrumentation, Measurement, Circuits and Systems (ICIMCS 2011)