Journal Article

Rejecting Mismatches by Correspondence Function

Hu, Zhanyi, Li, Xiangru

2010

Overview

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.

• Publisher: Springer US,Springer,Springer Nature B.V
• Subject: Algorithms / Analysis / Applied sciences / Artificial Intelligence / Computer Imaging / Computer Science / Computer science; control theory; systems / Computer vision / Correspondence / Estimates / Exact sciences and technology / Image Processing and Computer Vision / Mathematical analysis / Mathematical models / Pattern Recognition / Pattern Recognition and Graphics / Pattern recognition. Digital image processing. Computational geometry / Support vector machines / Three dimensional / Vision