Title :
An Improved Method of Location of the Circular Target
Author :
Qin, Li ; Feipeng, Da ; Heming, Huang
Author_Institution :
Inst. of Autom., Southeast Univ., Nanjing, China
Abstract :
In this paper, the two invariants in the perspective projection model of camera imaging process are analyzed and a five-point constraint is put forward. And then methods of determining the true projective position of the circular target using a concentric circular target, and an optimal method of suppressing stochastic errors in the location of circle centers with the optimization object function based on cross-ratio and the straightness of the fitting line are proposed with the help of hybrid particle swarm algorithm. All methods are combined into one locating method to obtain the true circles´ centers. The experiment shows that those methods which could be applied to computer vision and camera calibration are effective to compensate for the locating errors.
Keywords :
cameras; computer vision; particle swarm optimisation; camera calibration; camera imaging process; computer vision; concentric circular target; fitting line; five-point constraint; hybrid particle swarm algorithm; optimization object function; perspective projection model; stochastic errors; Arrays; Calibration; Cameras; Fitting; Lenses; Optimization; Stochastic processes; PSO; circle center; circle deviation; lens distortion; stochastic errors;
Conference_Titel :
Computational Aspects of Social Networks (CASoN), 2010 International Conference on
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4244-8785-1
DOI :
10.1109/CASoN.2010.64