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Proceedings Paper

Identification of surfaces using discrete triangular approximation of Gaussian curvature
Author(s): Sripriya Ramaswamy; Neelima Shrikhande
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Paper Abstract

Object recognition is one of the prime probems of computer vision. One way of extracting information is to compute the Gaussian curvature for the given surfaces. The algorithm uses discrete approximation using triangularization methods to compute Gaussian curvature. The images are initially broken down into different segments and the Gaussian curvature for each pixel in the segment is computed with respect to its eight neighboring pixels. These computed values are then converted into intensity format for graphical visualization. The images with improved edge information have been taken from previous work. Synthetic images containing signal object scenes have been tested.

Paper Details

Date Published: 18 August 1995
PDF: 7 pages
Proc. SPIE 2622, Optical Engineering Midwest '95, (18 August 1995); doi: 10.1117/12.216886
Show Author Affiliations
Sripriya Ramaswamy, Central Michigan Univ. (United States)
Neelima Shrikhande, Central Michigan Univ. (United States)


Published in SPIE Proceedings Vol. 2622:
Optical Engineering Midwest '95
Rudolph P. Guzik, Editor(s)

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