Image dense matching based on Delauney triangulation

Peiyi Shen; Wei Wang; Chengke Wu

doi:10.1117/12.323435

24 September 1998 Image dense matching based on Delauney triangulation

Peiyi Shen, Wei Wang, Chengke Wu

Proceedings Volume 3457, Mathematical Modeling and Estimation Techniques in Computer Vision; (1998) https://doi.org/10.1117/12.323435
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1998, San Diego, CA, United States

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.

Citation Download Citation

Peiyi Shen, Wei Wang, and Chengke Wu "Image dense matching based on Delauney triangulation", Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); https://doi.org/10.1117/12.323435

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