Title :
Flexible camera calibration by viewing a plane from unknown orientations
Author_Institution :
Microsoft Corp., Redmond, WA, USA
Abstract :
Proposes a flexible new technique to easily calibrate a camera. It only requires the camera to observe a planar pattern shown at a few (at least two) different orientations. Either the camera or the planar pattern can be freely moved. The motion need not be known. Radial lens distortion is modeled. The proposed procedure consists of a closed-form solution followed by a nonlinear refinement based on the maximum likelihood criterion. Both computer simulation and real data have been used to test the proposed technique, and very good results have been obtained. Compared with classical techniques which use expensive equipment, such as two or three orthogonal planes, the proposed technique is easy to use and flexible. It advances 3D computer vision one step from laboratory environments to real-world use. The corresponding software is available from the author´s Web page (<http://research.microsoft.com/~zhang>)
Keywords :
calibration; cameras; computer vision; digital simulation; image processing equipment; maximum likelihood estimation; photographic lenses; public domain software; 3D computer vision; closed-form solution; computer simulation; flexible camera calibration; intrinsic parameters; maximum likelihood criterion; model acquisition; motion analysis; nonlinear refinement; planar pattern; plane views; public-domain software; radial lens distortion; unknown orientations; Calibration; Cameras; Computer simulation; Computer vision; Layout; Lenses; Nonlinear distortion; Robustness; Testing; Voltage control;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.791289