Point matching of two images under large different resolution

Lei Ruan; Maolin Hu

doi:10.1117/12.742428

15 November 2007 Point matching of two images under large different resolution

Lei Ruan, Maolin Hu

Proceedings Volume 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition; 67860F (2007) https://doi.org/10.1117/12.742428
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

Image matching is the first step in almost any 3D computer vision task, and hence has received extensive attention. In this paper, the problem is addressed from a novel perspective, which is different from the classic stereo matching paradigm. Two images with different resolutions, that is high resolution versus low resolution are matched. Since the high resolution image only corresponds to a small region of the low resolution one, the matching task therefore consists in finding a small region in the low resolution image that can be assigned to the whole high resolution image under the plane similarity transformation, which can be defined by the local area correlation coefficient to match the interest points and rectified by similarity transform. Experiment shows that our matching algorithm can be used for scale changing up to a factor of 6. And it is successful to deal with the point matching between two images under large scale.

Citation Download Citation

Lei Ruan and Maolin Hu "Point matching of two images under large different resolution", Proc. SPIE 6786, MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, 67860F (15 November 2007); https://doi.org/10.1117/12.742428

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KEYWORDS

Image resolution

3D vision

Sensors

3D image processing

Cameras

Computer vision technology

Machine vision

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