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Proceedings Paper

Cartographic applications of model-based optimization
Author(s): Pascal Fua
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Paper Abstract

Model-based optimization (MBO) is a paradigm in which an objective function is used to express both geometric and photometric constraints on features of interest. A parametric model of a feature (such as a road, a building, or coastline) is extracted from one or more images by adjusting the model's state variables until a minimum value of the objective function is obtained. The optimization procedure yields a description that simultaneously satisfies (or nearly satisfies) all constraints, and, as a result, is likely to be a good model of the feature.

Paper Details

Date Published: 19 February 1996
PDF: 15 pages
Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996);
Show Author Affiliations
Pascal Fua, SRI International (Switzerland)

Published in SPIE Proceedings Vol. 2645:
24th AIPR Workshop on Tools and Techniques for Modeling and Simulation
Donald J. Gerson, Editor(s)

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