Image representation by integrating curvatures and Delaunay triangulations

Chengke Wu; Roger Mohr

doi:10.1117/12.48438

1 September 1991 Image representation by integrating curvatures and Delaunay triangulations

Chengke Wu; Roger Mohr;

Author Affiliations +

Proceedings Volume 1570, Geometric Methods in Computer Vision; (1991) https://doi.org/10.1117/12.48438
Event: San Diego, '91, 1991, San Diego, CA, United States

Abstract

A method for representing images by integrating curvatures and Delaunay triangulations is presented in this paper. The images to be represented include both range images and illuminated images. A plane or triangle is most often used to represent a surface in the images. The Delaunay triangulation is adopted in this paper for its numerical stability in computation. By segmenting the images in some regions before triangulation, the number of triangles represented will be reduced largely. Gaussian and mean curvatures are used for the segmentation and B-spline surface smoothing is performed before the curvature computation. The experimental results on a number of range and illuminated images are given. The results show that the integrating method for representing both range and illuminated images is effective.

Citation Download Citation

Chengke Wu, Roger Mohr, "Image representation by integrating curvatures and Delaunay triangulations", Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.48438; https://doi.org/10.1117/12.48438

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