文章基本信息

标题：Camera calibration method based on Pascal’s theorem
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作者：Xuechun Wang
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2019
卷号：16
期号：3
页码：1-10
DOI：10.1177/1729881419846406
出版社：SAGE Publications
摘要：As one of the classical theories of projective geometry, Pascal’s theorem is closely related to the conic, which is the image of a circle. A circle is the geometric element typically used as a template for camera calibration methods. In this work, we propose a calibration method based on Pascal’s theorem and its inference, in which a circle is used as the calibration template. The proposed calibration method can be applied to solve the image of the circular points via the Newton iteration method. The intrinsic parameters of the camera can then be determined based on the constraints of the images of the circular points and the image of the absolute conic. The results of simulations and experiments conducted verify the validity and feasibility of the proposed calibration method.
关键词：Computer vision; projective geometry; Pascal’s theorem; camera intrinsic parameters; the image of circular points; Newton iteration method