Paper
21 August 1987 3-D Surface Description Using Curvature Properties
T. J. Fan, G. Medioni, R. Nevatia
Author Affiliations +
Proceedings Volume 0754, Optical and Digital Pattern Recognition; (1987) https://doi.org/10.1117/12.939973
Event: OE LASE'87 and EO Imaging Symposium, 1987, Los Angeles, CA, United States
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.
© (1987) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
T. J. Fan, G. Medioni, and R. Nevatia "3-D Surface Description Using Curvature Properties", Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); https://doi.org/10.1117/12.939973
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CITATIONS
Cited by 10 scholarly publications.
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KEYWORDS
Optical pattern recognition

Image filtering

Surface properties

Electronic filtering

Image processing

Computer vision technology

Edge detection

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