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Image Representation by Integrating Curvature and Delaunay Triangulation

Chengke Wu Roger Mohr 1, 2 
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Laboratoire d'informatique GRAphique, VIsion et Robotique de Grenoble, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
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.
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Chengke Wu, Roger Mohr. Image Representation by Integrating Curvature and Delaunay Triangulation. SPIE Conference on Videometrics, Jul 1991, San Diego, United States. pp.362--370, ⟨10.1117/12.48438⟩. ⟨inria-00548446⟩



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