DocumentCode :
1636910
Title :
Geometric camera calibration using systems of linear equations
Author :
Gremban, K.D. ; Thorpe, Charles E. ; Kanade, Takeo
fYear :
1988
Firstpage :
562
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
Keywords :
calibration; cameras; camera; geometric calibration; least-squares procedure; line-of-sight vector; linear equations; Calibration; Cameras; Computer graphics; Computer vision; Nonlinear equations; Pixel; Road vehicles; Robot kinematics; Robot vision systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1988. Proceedings., 1988 IEEE International Conference on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-8186-0852-8
Type :
conf
DOI :
10.1109/ROBOT.1988.12111
Filename :
12111
Link To Document :
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