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Proceedings Paper

A robust technique for real-time image match
Author(s): Bin Su; Fengwen Mi
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Paper Abstract

In the field of computer vision, image match is one of the most important research topics. It is used to match two or more images, for example, at different time, from different sensors or from different viewpoints. In this paper, we present a robust method for realtime image registration. First, the feature points of two images were obtained by using Adaptive Harris detector, and the matching points of the two images are determined by using global search. And then the maximum correlation principle is involved to adaptively determine the optimal affine transformation parameters. In the stage of real-time video image registration, we can determine the searching area for the related feature points in the current frame using the affine transformation matrix between the reference image and the previous frame, which enables the matching method effective. The experimental results showed that the presented method achieved 25fps, which is fast enough, and the registration errors are small enough demonstrating the high precision of the proposed registration method.

Paper Details

Date Published: 13 March 2013
PDF: 6 pages
Proc. SPIE 8783, Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing, 87831G (13 March 2013); doi: 10.1117/12.2014206
Show Author Affiliations
Bin Su, Beijing Institute of Technology (China)
Ministry of Education of China (China)
Fengwen Mi, Beijing Institute of Technology (China)
Ministry of Education of China (China)


Published in SPIE Proceedings Vol. 8783:
Fifth International Conference on Machine Vision (ICMV 2012): Computer Vision, Image Analysis and Processing
Yulin Wang; Liansheng Tan; Jianhong Zhou, Editor(s)

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