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Mismatch removal via coherent spatial relations

[+] Author Affiliations
Jun Chen

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

Jiayi Ma

Electronic Information School, Wuhan University, Wuhan 430072, China

Changcai Yang

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

Jinwen Tian

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

J. Electron. Imaging. 23(4), 043012 (Jul 22, 2014). doi:10.1117/1.JEI.23.4.043012
History: Received April 19, 2014; Revised June 22, 2014; Accepted June 26, 2014
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Abstract.  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.

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Citation

Jun Chen ; Jiayi Ma ; Changcai Yang and Jinwen Tian
"Mismatch removal via coherent spatial relations", J. Electron. Imaging. 23(4), 043012 (Jul 22, 2014). ; http://dx.doi.org/10.1117/1.JEI.23.4.043012


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