The common self-polar triangle of concentric circles and its application to camera calibration

H. Huang, Hui Zhang, Yiu-ming Cheung
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引用次数: 39

Abstract

In projective geometry, the common self-polar triangle has often been used to discuss the position relationship of two planar conics. However, there are few researches on the properties of the common self-polar triangle, especially when the two planar conics are special conics. In this paper, we explore the properties of the common self-polar triangle, when the two conics happen to be concentric circles. We show there exist infinite many common self-polar triangles of two concentric circles, and provide a method to locate the vertices of these triangles. By investigating all these triangles, we find that they encode two important properties. The first one is all triangles share one common vertex, and the opposite side of the common vertex lies on the same line, which are the circle center and the line at the infinity of the support plane. The second is all triangles are right triangles. Based on these two properties, the imaged circle center and the varnishing line of support plane can be recovered simultaneously, and many conjugate pairs on vanishing line can be obtained. These allow to induce good constraints on the image of absolute conic. We evaluate two calibration algorithms, whereby accurate results are achieved. The main contribution of this paper is that we initiate a new perspective to look into circle-based camera calibration problem. We believe that other calibration methods using different circle patterns can benefit from this perspective, especially for the patterns which involve more than two circles.
常见同心圆自极三角形及其在摄像机标定中的应用
在射影几何中,常用自极三角形来讨论平面二次曲线的位置关系。然而,对于一般自极三角形的性质,特别是当两个平面二次曲线为特殊二次曲线时,研究较少。本文研究了当两个二次曲线恰好是同心圆时,一般自极三角形的性质。我们证明了两个同心圆的自极三角形存在无穷多个,并给出了这些自极三角形顶点的定位方法。通过研究所有这些三角形,我们发现它们编码了两个重要的属性。第一种是所有三角形都有一个共同的顶点,并且这个共同顶点的对边在同一条直线上,这条直线就是圆的圆心和支撑平面无穷远处的直线。第二,所有的三角形都是直角三角形。利用这两种特性,可以同时恢复成像的圆心和支撑面上光线,并得到消失线上的多个共轭对。这允许对绝对二次曲线的象进行良好的约束。我们评估了两种校准算法,从而获得了准确的结果。本文的主要贡献在于为研究基于圆的摄像机标定问题提供了一个新的视角。我们相信其他使用不同圆模式的校准方法可以从这个角度受益,特别是涉及两个以上圆的模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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