DocumentCode :
2899964
Title :
Violating rotating camera geometry: the effect of radial distortion on self-calibration
Author :
Tordoff, B. ; Murray, David W.
Author_Institution :
Dept. of Eng. Sci., Oxford Univ., UK
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
423
Abstract :
We show that radial distortion of images invalidates the geometric constraint on which self-calibration of a rotating camera is based on, that is, 3D lines drawn between matched features all intersect at the rotation centre. We develop a geometric picture showing how radial distortion violates this constraint and discuss the implications for self-calibration of a rotating camera. In particular we show that the behaviour of self-calibration is markedly different for pin-cushion and barrel distortion, the latter causing self-calibration to be unreliable or to fail completely. A method is presented for automatically estimating the radial distortion over a sequence of images, when both distortion and camera internal parameters vary. We discuss when such an approach will work and whether accurate automatic calibration of a rotating camera is really possible
Keywords :
aberrations; calibration; computational geometry; computer vision; image sequences; self-adjusting systems; barrelling distortion; computer vision; geometric constraint; image sequences; radial distortion; rotating camera geometry; self-calibration; Automatic control; Calibration; Cameras; Electric breakdown; Geometry; Layout; Motion control; Predictive models; Surveillance; TV broadcasting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
ISSN :
1051-4651
Print_ISBN :
0-7695-0750-6
Type :
conf
DOI :
10.1109/ICPR.2000.905367
Filename :
905367
Link To Document :
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