A practical multi-plane method for a low-cost camera calibration technique

This work presents a camera calibration technique based on the use of two (or more) independent calibration planes. It's robust with respect to noise and plane configurations, and it is suited for in situ image acquisition in the context of robot vision. The use of independent calibration planes for getting 3D test points without any knowledge about their relative displacement and without the need of an expensive calibration setup is a major advantage of the proposed method. The framework proposed here is believed to have important applications for robot eye-hand systems.

[1]  Richard I. Hartley,et al.  In Defense of the Eight-Point Algorithm , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Lee A. Feldkamp,et al.  Global calibration of a robot/vision system , 1987, Proceedings. 1987 IEEE International Conference on Robotics and Automation.

[3]  Wen-Hsiang Tsai,et al.  Camera Calibration by Vanishing Lines for 3-D Computer Vision , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Gabriel Abba,et al.  Recognition and localization of solid objects by a monocular vision system for robotic tasks , 1994, Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'94).

[5]  Roger Y. Tsai,et al.  A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses , 1987, IEEE J. Robotics Autom..

[6]  Robert B. Kelley,et al.  Camera Models Based on Data from Two Calibration Planes , 1981 .