Issue No. 07 - July (1990 vol. 12)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.56209
<p>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.</p>
3D world coordinate systems; geometrical distortion; coplanar calibration; linear camera calibration; image plane; linear affine transformation; extrinsic variables; intrinsic variables; orthogonal rotation matrix; noncoplanar calibration; calibration; cameras; computer vision; picture processing
W. Grosky and L. Tamburino, "A Unified Approach to the Linear Camera Calibration Problem," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 12, no. , pp. 663-671, 1990.