期刊
INTERNATIONAL JOURNAL OF COMPUTER VISION
卷 89, 期 1, 页码 1-17出版社
SPRINGER
DOI: 10.1007/s11263-010-0318-x
关键词
Correspondence problem; Point correspondences; Deformable images; Image matching
资金
- National Natural Science Foundation of China [60835003, 60675020, 60773132]
- National Laboratory of Pattern Recognition (NLPR)
A novel method ICF (Identifying point correspondences by Correspondence Function) is proposed for rejecting mismatches from given putative point correspondences. By analyzing the connotation of homography, we introduce a novel concept of correspondence function for two images of a general 3D scene, which captures the relationships between corresponding points by mapping a point in one image to its corresponding point in another. Since the correspondence functions are unknown in real applications, we also study how to estimate them from given putative correspondences, and propose an algorithm IECF (Iteratively Estimate Correspondence Function) based on diagnostic technique and SVM. Then, the proposed ICF method is able to reject the mismatches by checking whether they are consistent with the estimated correspondence functions. Extensive experiments on real images demonstrate the excellent performance of our proposed method. In addition, the ICF is a general method for rejecting mismatches, and it is applicable to images of rigid objects or images of non-rigid objects with unknown deformation.
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