Extracting geometric models through constraint minimization

Extracting geometric models through constraint minimization

Geometric models that represent the features in a greyscale image allow for alternative visualizations of the features. These alternatives can lead to a greater understanding of the extents and interrelationships of the features in the image. We present a technique that extracts the geometric nature...

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Hauptverfasser: Miller, James V., Breen, David E., Wozny, Michael J.
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Sprache:eng
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Computing methodologies
Computing methodologies > Computer graphics
Computing methodologies > Computer graphics > Shape modeling
Theory of computation
Theory of computation > Randomness, geometry and discrete structures
Theory of computation > Randomness, geometry and discrete structures > Computational geometry
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creator Miller, James V.
Breen, David E.
Wozny, Michael J.
description Geometric models that represent the features in a greyscale image allow for alternative visualizations of the features. These alternatives can lead to a greater understanding of the extents and interrelationships of the features in the image. We present a technique that extracts the geometric nature of a feature by constraining a known geometric model to conform to the characteristics of the feature. The constraints embody local properties of simple polygons and the nature of the relationship between noise and the features in the image. By minimizing these constraints we are able to deform our initial model to fit the feature.
doi_str_mv 10.5555/949531.949543
format Conference Proceeding
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identifier ISBN: 0818620838
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subjects Computing methodologies
Computing methodologies -- Computer graphics
Computing methodologies -- Computer graphics -- Shape modeling
Theory of computation
Theory of computation -- Randomness, geometry and discrete structures
Theory of computation -- Randomness, geometry and discrete structures -- Computational geometry
title Extracting geometric models through constraint minimization
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