摄像机根据不同的内禀参数和圆弧进行自标定

A. El Abderrahmani, K. Satori
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引用次数: 4

摘要

针对三维未知场景,提出了一种鲁棒且重要的数值相机自标定方法。我们的技术的特殊性在于使用圆弧和在使用图像集合中检测到的一些匹配点的定位,以便以自动方式定义未知和可变的内在参数。我们的方法是基于最小化约束的相机自校准与每对图像的弦的两个极端的投影。很明显,为了从模拟中产生良好的结果,选择正确的编程语言将是最重要的。我们的主要标准是简单性、稳定性和执行算法。结果证明,上述标准的选择是成功的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camera self-calibration with varying intrinsic parameters and arc of the circle
This paper presents a robust and important method for the self-calibration of a numerical camera using a tridimensional unknown scene. The particularity of our technique resides in the use of an arc of the circle and the localization of some of the matching points detected in the use of an ensemble of images in order to define in an automated way the intrinsic parameters, which are unknown and variable. Our approach is based on minimizing the constraints of the self-calibration of the camera with the projection of the two extremities of chord of each pair of images. It is obvious that in order to produce good results from the simulations we have made the choice of the right programming language would be of prime importance. Our main criteria were simplicity, stability and performing algorithms. The results have proven that the selection of the aforementioned criteria was successful.
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