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Carnegie Mellon Robotics Institute

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Abstract

Geometric camera calibration is the process of determining a mapping between points in world coordinates and the corresponding image locations of the points. In previous methods, calibration typically involved the iterative solution to a system of nonlinear equations. A method is presented for performing camera calibration that provides a complete, accurate solution, using only linear systems of equations. By using two calibration planes, a line-of-sight vector is defined for each pixel in the image. The effective focal point of a camera can be obtained by solving the system that defines the intersection point of the line-of-sight vectors. Once the focal point has been determined, a complete camera model can be obtained with a straightforward least-squares procedure. This method of geometric camera calibration has the advantages of being accurate, efficient, and practical for a wide variety of applications.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

K. Gremban, Chuck Thorpe, and Takeo Kanade, "Geometric Camera Calibration using Systems of Linear Equations," Proceedings of IEEE Conference on Robotics and Automation (ICRA '88), April, 1988, pp. 562 - 567.

BibTeX Reference

@inproceedings{Thorpe_1988_1648,
   author = "K. Gremban and Chuck Thorpe and Takeo Kanade",
   title = "Geometric Camera Calibration using Systems of Linear Equations",
   booktitle = "Proceedings of IEEE Conference on Robotics and Automation (ICRA '88)",
   pages = "562 - 567",
   month = "April",
   year = "1988",
   volume = "1",
}

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