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Mismatch removal via coherent spatial relations

机译:通过相干空间关系消除不匹配

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摘要

We propose a method for removing mismatches from the given putative point correspondences in image pairs based on "coherent spatial relations." Under the Bayesian framework, we formulate our approach as a maximum likelihood problem and solve a coherent spatial relation between the putative point correspondences using an expectation-maximization (EM) algorithm. Our approach associates each point correspondence with a latent variable indicating it as being either an inlier or an outlier, and alternatively estimates the inlier set and recovers the coherent spatial relation. It can handle not only the case of image pairs with rigid motions but also the case of image pairs with nonrigid motions. To parameterize the coherent spatial relation, we choose two-view geometry and thin-plate spline as models for rigid and nonrigid cases, respectively. The mismatches could be successfully removed via the coherent spatial relations after the EM algorithm converges. The quantitative results on various experimental data demonstrate that our method outperforms many state-of-the-art methods, it is not affected by low initial correct match percentages, and is robust to most geometric transformations including a large viewing angle, image rotation, and affine transformation.
机译:我们提出了一种基于“相干空间关系”从图像对中给定的推定点对应关系中去除不匹配的方法。在贝叶斯框架下,我们将方法表示为最大似然问题,并使用期望最大化(EM)算法解决推定点对应关系之间的连贯空间关系。我们的方法将每个点对应关系与一个潜在变量相关联,以将其表示为离群值或离群值,然后替代地估计离群值并恢复相干的空间关系。它不仅可以处理具有刚性运动的图像对,而且还可以处理具有非刚性运动的图像对。为了参数化相干的空间关系,我们分别选择两个视图的几何形状和薄板样条作为刚性和非刚性情况的模型。 EM算法收敛后,可以通过相干空间关系成功消除不匹配。各种实验数据的定量结果表明,我们的方法优于许多最新方法,不受初始正确匹配率低的影响,并且对大多数几何变换(包括大视角,图像旋转和旋转)具有鲁棒性。仿射变换。

著录项

  • 来源
    《Journal of electronic imaging》 |2014年第4期|043012.1-043012.12|共12页
  • 作者单位

    Experimental Teaching Center of Information Technology, China University of Geosciences, Wuhan 430074, China;

    Electronic Information School, Wuhan University, Wuhan 430072, China;

    College of Computer and Information Science, Fujian Agriculture and Forestry University, Fuzhou 350002, China;

    School of Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    mismatch removal; robust estimator; point correspondence; multiple view relation; thin-plate splines; outlier;

    机译:不匹配去除;鲁棒估计器点对应多视图关系;薄板花键;离群值;
  • 入库时间 2022-08-18 01:17:28

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