DocumentCode :
2079137
Title :
Calibration of radial distortion via QR factorization
Author :
Zhu, Wenqiao ; Diao, Changyu ; Huang, Jingzhou
Author_Institution :
Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
Volume :
2
fYear :
2010
fDate :
10-12 Dec. 2010
Firstpage :
728
Lastpage :
732
Abstract :
In this paper, the radial distortion correcting problem with the plimbline method is revisited, which uses the fact that in pinhole camera model a straight line in the scene should be imaged as a line in image space. A new algorithm is proposed, the distortion correcting problem is reformulated as a LS problem and solved via QR factorization. Both the single line case and multi-lines case are taken into account. It is very simple and easy to implement compared with other iterative technique based methods while has reasonable radial distortion correcting result. Experiments on both simulated data and real images, which include both the indoor scene images and outdoor scene images, show its performance.
Keywords :
CCD image sensors; calibration; distortion; geometrical optics; image processing; matrix decomposition; natural scenes; LS; QR factorization; calibration; image space; indoor scene images; outdoor scene images; pinhole camera model; plimbline method; radial distortion; straight line; Cameras; QR factortion; Radial distortion; division model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-6788-4
Type :
conf
DOI :
10.1109/PIC.2010.5687940
Filename :
5687940
Link To Document :
بازگشت