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Proceedings Paper

3-D Surface Description Using Curvature Properties
Author(s): T. J. Fan; G. Medioni; R. Nevatia
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Paper Abstract

This paper presents a method to extract and represent significant physical properties of a surface, using curvature properties of this surface. We compute curvature in 4 different directions and detect extrema and zero-crossings for each of these one dimensional curves. Since this computation is very noise sensitive, we filter these features using a scale-space tracking approach: we smooth the image with Gaussian masks of increasing variance, detecting features at the smoothest level and localizing them at the original one. We then partially group these features into junctions which correspond to significant physical properties, such as depth discontinuities, surface discontinuities, smooth extrema, and link them into curves. We believe that these descriptions capture most of the information present in the original image, but are more suited to further processing, such as matching with a model. We then illustrate this technique with several examples.

Paper Details

Date Published: 21 August 1987
PDF: 7 pages
Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); doi: 10.1117/12.939973
Show Author Affiliations
T. J. Fan, University of Southern California (United States)
G. Medioni, University of Southern California (United States)
R. Nevatia, University of Southern California (United States)


Published in SPIE Proceedings Vol. 0754:
Optical and Digital Pattern Recognition
Hua-Kuang Liu; Paul S. Schenker, Editor(s)

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