Mirrors in motion: epipolar geometry and motion estimation

Christopher Geyer, Kostas Daniilidis
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引用次数: 90

Abstract

In this paper we consider the images taken from pairs of parabolic catadioptric cameras separated by discrete motions. Despite the nonlinearity of the projection model, the epipolar geometry arising from such a system, like the perspective case, can be encoded in a bilinear form, the catadioptric fundamental matrix. We show that all such matrices have equal Lorentzian singular values, and they define a nine-dimensional manifold in the space of 4 /spl times/ 4 matrices. Furthermore, this manifold can be identified with a quotient of two Lie groups. We present a method to estimate a matrix in this space, so as to obtain an estimate of the motion. We show that the estimation procedures are robust to modest deviations from the ideal assumptions.
运动中的镜子:极几何和运动估计
本文考虑由离散运动分离的抛物反射相机对所拍摄的图像。尽管投影模型是非线性的,但从这样一个系统产生的极外几何,就像透视的情况一样,可以用双线性形式编码,即反射基本矩阵。我们证明了所有这样的矩阵都具有相等的洛伦兹奇异值,并且它们在4 /spl乘以/ 4矩阵的空间中定义了一个九维流形。进一步,该流形可以用两个李群的商来标识。我们提出了一种在这个空间中估计矩阵的方法,从而得到运动的估计。我们表明,估计过程是稳健的适度偏离理想的假设。
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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