DocumentCode :
535438
Title :
A method of vehicle camera self-calibration
Author :
Feng, Nenglian ; Hao, Jing ; Bin, Yang ; Yin, Yuhao
Author_Institution :
Coll. of Environ. & Energy Eng., Beijing Univ. of Technol., Beijing, China
Volume :
5
fYear :
2010
fDate :
16-18 Oct. 2010
Firstpage :
2449
Lastpage :
2453
Abstract :
On account of the poor anti-nose performance and the complicated calibration process in the existing algorithms of the vehicle camera self-calibration, a method based on the single octagonal template is proposed in this paper. This method takes advantage of the character of cross ratio and the harmonic conjugate in the projective geometry and the relevant reasoning of Laguerre theory. With this method, the information about the size, locations and motion states of the template isn´t needed while reducing the movement times of the template. Meanwhile, the precision of the corner detection can reach the sub-pixel via improving the method of Harris corner detection. A large number of experiments proved this method high-precision and effectiveness while giving consideration to the noise and other factors in the real conditions.
Keywords :
calibration; cameras; computer vision; driver information systems; edge detection; Harris corner detection method; Laguerre theory; complicated calibration process; computer vision; harmonic conjugate; projective geometry; single octagonal template; vehicle camera self-calibration method; Accuracy; Calibration; Cameras; Equations; Harmonic analysis; Robot vision systems; Vehicles; camera intrinsic parameters; corner detection; octagon; self-calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
Type :
conf
DOI :
10.1109/CISP.2010.5648059
Filename :
5648059
Link To Document :
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