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Proceedings Paper

Image representation by integrating curvatures and Delaunay triangulations
Author(s): Chengke Wu; Roger Mohr
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Paper 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.

Paper Details

Date Published: 1 September 1991
PDF: 9 pages
Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.48438
Show Author Affiliations
Chengke Wu, INRIA Lorraine/CRIN (China)
Roger Mohr, LIFIA/IMAG (France)

Published in SPIE Proceedings Vol. 1570:
Geometric Methods in Computer Vision
Baba C. Vemuri, Editor(s)

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