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Journal of Electronic Imaging

Mismatch removal via coherent spatial relations
Author(s): Jun Chen; Jiayi Ma; Changcai Yang; Jinwen Tian
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Paper 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.

Paper Details

Date Published: 22 July 2014
PDF: 12 pages
J. Electron. Imaging. 23(4) 043012 doi: 10.1117/1.JEI.23.4.043012
Published in: Journal of Electronic Imaging Volume 23, Issue 4
Show Author Affiliations
Jun Chen, China Univ. of Geosciences (China)
Jiayi Ma, Wuhan Univ. (China)
Changcai Yang, Fujian Agriculture and Forestry Univ. (China)
Jinwen Tian, Huazhong Univ. of Science and Technology (China)


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