2014 | OriginalPaper | Buchkapitel
An Improved Algorithm for Camera Calibration Technology Research
verfasst von : Gen Lu, Yuying Shao, Li Deng, Minrui Fei
Erschienen in: Computational Intelligence, Networked Systems and Their Applications
Verlag: Springer Berlin Heidelberg
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Computer vision technology has wide application value in daily life and industrial production. Camera calibration is the base of computer vision technology, which is the key and necessary step to get three-dimensional spatial information from a two-dimensional image. In the paper, the geometric parameter of camera is considered as the research object. Firstly, the relationship model of camera calibration is established and used to unify the world coordinate system, the camera coordinate system and the image coordinate system. It takes the image pixel point as the optimization goal, then a differential evolution combined with particle swarm optimization algorithm is proposed to calibrate camera. Experimental simulation results show that the improved algorithm has good optimization ability and used for camera calibration has validity and reliability.