DocumentCode :
248977
Title :
Calibration of an industrial vision system using an ellipsoid
Author :
Heather, Jamie P.
Author_Institution :
Compac Technol., Auckland, New Zealand
fYear :
2014
fDate :
27-30 Oct. 2014
Firstpage :
3444
Lastpage :
3448
Abstract :
A robust multi-camera calibration algorithm developed for an industrial vision system is described. An ellipsoid with a simple surface pattern and accurately known geometry is used as a calibration target. Our algorithm automatically detects the presence of the ball on the conveyor and accurately determines the position of its outline and marker lines in each image frame using efficient image processing techniques. A fast least-squares minimization is then performed to determine the optimal camera and motion parameters. The method is fully automatic and requires no human interaction or guidance, helping to minimize machine setup and maintenance times. The calibration algorithm has been demonstrated on real image captures and performance is quantified using simulated image sequences.
Keywords :
calibration; cameras; computerised instrumentation; geometry; image motion analysis; image sequences; least squares approximations; minimisation; calibration; conveyor; geometry; image processing; image sequence; industrial vision system; least-square minimization; maintenance; motion parameter; multicamera calibration algorithm; Calibration; Cameras; Ellipsoids; Fitting; Machine vision; Optimization; Robot vision systems; ellipsoidal target; image registration; least-squares; motion model; multi-camera calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
Type :
conf
DOI :
10.1109/ICIP.2014.7025700
Filename :
7025700
Link To Document :
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