A unified approach to the linear camera calibration problem
- 1 July 1990
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 12 (7) , 663-671
- https://doi.org/10.1109/34.56209
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
This publication has 3 references indexed in Scilit:
- Decomposition of transformation matrices for robot visionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Surface measurement by space-encoded projected beam systemsComputer Graphics and Image Processing, 1982
- On calibrating computer controlled cameras for perceiving 3-D scenesArtificial Intelligence, 1974