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Proceedings Paper

Image dense matching based on Delauney triangulation
Author(s): Peiyi Shen; Wei Wang; Chengke Wu
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Paper Abstract

A new image matching method is proposed based on delauney triangulation of this paper. The first step of this method is making the delauney triangle segmentations of the 2 reference images; second, covering each paired triangle with the parallel lines or the polar lines; thirdly, matching the image points using the epipolar geometry constraint. The method gets rid of the classic time-consuming dense matching technique, effectively resolves the problem of match missing caused by the line lengthening and shortening, and greatly improves the speed and accuracy of matching.

Paper Details

Date Published: 24 September 1998
PDF: 8 pages
Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323435
Show Author Affiliations
Peiyi Shen, Xidian Univ. (China)
Wei Wang, Xidian Univ. (China)
Chengke Wu, Xidian Univ. (China)


Published in SPIE Proceedings Vol. 3457:
Mathematical Modeling and Estimation Techniques in Computer Vision
Francoise J. Preteux; Jennifer L. Davidson; Edward R. Dougherty, Editor(s)

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