Robust computation and parametrization of multiple view relations
Robust computation and parametrization of multiple view relations
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DOI：
10.1109/iccv.1998.710798
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发表时间：
1998-01
期刊：
影响因子：
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通讯作者：
P. Torr;Andrew Zisserman
中科院分区：
文献类型：
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作者：
P. Torr;Andrew Zisserman
提出了一种基于图像点对应关系的多视点关系鲁棒估计方法。有三个新的贡献，第一个是一个通用的方法参数化这些关系使用点对应。第二个贡献是制定一个共同的最大似然估计（MLE）的多视图关系。参数化有助于约束优化以获得该MLE。第三个贡献是一个新的强大的算法，MLESAC，用于获得点对应。该方法是一般的，它的使用说明基本矩阵，图像到图像的单应性和二次变换的估计。合成和真实的图像的结果。结果表明，该方法的结果与以前的方法相当或优于以前的方法，甚至达到上级。
A new method is presented for robustly estimating multiple view relations from image point correspondences. There are three new contributions, the first is a general purpose method of parametrizing these relations using point correspondences. The second contribution is the formulation of a common Maximum Likelihood Estimate (MLE) for each of the multiple view relations. The parametrization facilitates a constrained optimization to obtain this MLE. The third contribution is a new robust algorithm, MLESAC, for obtaining the point correspondences. The method is general and its use is illustrated for the estimation of fundamental matrices, image to image homographies and quadratic transformations. Results are given for both synthetic and real images. It is demonstrated that the method gives results equal or superior to previous approaches.