Title :
A flexible new technique for camera calibration
Author_Institution :
Microsoft Corp., Redmond, WA, USA
fDate :
11/1/2000 12:00:00 AM
Abstract :
We propose a flexible 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 more step from laboratory environments to real world use.
Keywords :
calibration; computer vision; geometry; image sensors; matrix algebra; maximum likelihood estimation; optimisation; 3D computer vision; camera calibration; flexible technique; maximum likelihood criterion; planar pattern; radial lens distortion; Calibration; Cameras; Closed-form solution; Computer simulation; Computer vision; Layout; Lenses; Maximum likelihood estimation; Nonlinear distortion; Testing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on