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：2011
卷号：32
期号：1
页码：46-54
出版社：Journal of Theoretical and Applied
摘要：We present a practical algorithm for camera self-calibration dealing with varying parameters. Given a projective reconstruction, we retrieve the calibration matrices for each frame by minimizing a non-linear least square. We firstly start the minimization procedure by a stage of initialization to get a first estimation of the focal lengths, then, we start the estimation of the camera intrinsic parameters in a multistage algorithm, in each stage a parameter is estimated assuming some constraints on the other parameters. In the final stage a refinement of all parameters is done at once to allow them to vary freely. The robustness and accuracy of the algorithm are shown in the experiments on both synthetic and real data.
关键词：Camera Self-Calibration; Multistage Algorithm; Varying Intrinsic Parameters; Least Square Minimization
