期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：51
期号：3
出版社：Journal of Theoretical and Applied
摘要：In this paper, we present a new method of camera calibration with varying parameters by a hybrid optimization algorithm that combines simplex algorithm and the modified genetic algorithm. Comparing to traditional optimization methods, the cameras calibration with varying parameters by this approach can avoid being trapped in a local minimum and converge quickly to the optimal solution without initial estimation of the cameras parameters. Several experiments are implemented using a 3D grid characterized by these coordinates which are known, to demonstrate the validity and performance of the proposed technique. The results show that this approach is accurate and robust to single optimization methods.
