Title :
A simple calibration procedure for fish-eye (high distortion) lens camera
Author :
Shah, Shishir ; Aggarwal, J.K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Abstract :
Presents a new algorithm for the geometric camera calibration of a fish-eye lens (a high distortion lens) mounted on a CCD TV camera. The algorithm determines a mapping between points in the world coordinate system and their corresponding point locations in the image plane. The parameters to be calibrated are effective focal length, one-pixel width on the image plane, image distortion center, and distortion coefficients. A simple calibration pattern consisting of equally spaced dots is introduced as a reference for calibration. Some parameters to be calibrated are eliminated by setting up the calibration pattern precisely and assuming negligible distortion at the image distortion center. Thus, the number of unknown parameters to be calibrated is drastically reduced, enabling simple and useful calibration. The method employs a polynomial transformation between points in the world coordinate system and their corresponding image plane locations. The coefficients of the polynomial are determined using the Lagrangian estimation. Furthermore, the effectiveness of the proposed calibration method is confirmed by experimentation
Keywords :
CCD image sensors; calibration; computer vision; geometry; lenses; television cameras; CCD TV camera; Lagrangian estimation; calibration pattern; distortion coefficients; effective focal length; equally spaced dots; fish-eye lens camera; geometric camera calibration procedure; high distortion lens camera; image distortion center; image plane mapping; one-pixel width; polynomial transformation; unknown parameters; world coordinate system; Calibration; Cameras; Charge-coupled image sensors; Computer vision; Lenses; Optical distortion; Polynomials; Robot kinematics; Robot vision systems; Robotic assembly;
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
DOI :
10.1109/ROBOT.1994.351044