24 September 1998 Image dense matching based on Delauney triangulation
Author Affiliations +
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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Peiyi Shen, Peiyi Shen, Wei Wang, Wei Wang, Chengke Wu, Chengke Wu, } "Image dense matching based on Delauney triangulation", Proc. SPIE 3457, Mathematical Modeling and Estimation Techniques in Computer Vision, (24 September 1998); doi: 10.1117/12.323435; https://doi.org/10.1117/12.323435


Virtual landmarks
Proceedings of SPIE (March 03 2017)
Range Image Segmentation Via Distance Slicing
Proceedings of SPIE (February 19 1988)
Color image processing using symbolic data analysis
Proceedings of SPIE (November 14 1996)
Problems In Three-Dimensional Imaging
Proceedings of SPIE (February 16 1984)

Back to Top