DocumentCode :
1368915
Title :
A unified approach to the linear camera calibration problem
Author :
Grosky, William I. ; Tamburino, Louis A.
Author_Institution :
Dept. of Comput. Sci., Wayne State Univ., Detroit, MI, USA
Volume :
12
Issue :
7
fYear :
1990
fDate :
7/1/1990 12:00:00 AM
Firstpage :
663
Lastpage :
671
Abstract :
The camera calibration process relates camera system measurements (pixels) to known reference points in a three-dimensional world coordinate system. The calibration process is viewed as consisting of two independent phases: the first is removing geometrical camera distortion so that rectangular calibration grids are straightened in the image plane, and the second is using a linear affine transformation as a map between the rectified camera coordinates and the geometrically projected coordinates on the image plane of known reference points. Phase one is camera-dependent, and in some systems may be unnecessary. Phase two is concerned with a generic model that includes 12 extrinsic variables and up to five intrinsic parameters. General methods handling additional constraints on the intrinsic variables in a manner consistent with explicit satisfaction of all six constraints on the orthogonal rotation matrix are presented. The use of coplanar and noncoplanar calibration points is described
Keywords :
calibration; cameras; computer vision; picture processing; 3D world coordinate systems; coplanar calibration; extrinsic variables; geometrical distortion; image plane; intrinsic variables; linear affine transformation; linear camera calibration; noncoplanar calibration; orthogonal rotation matrix; Aerospace electronics; Calibration; Cameras; Coordinate measuring machines; Distortion measurement; Layout; Nonlinear equations; Optical distortion; Phase distortion; Pixel; Transmission line matrix methods;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.56209
Filename :
56209
Link To Document :
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