Paper
19 February 1996 Cartographic applications of model-based optimization
Pascal Fua
Author Affiliations +
Proceedings Volume 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation; (1996) https://doi.org/10.1117/12.233054
Event: 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, 1995, Washington, DC, United States
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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Pascal Fua "Cartographic applications of model-based optimization", Proc. SPIE 2645, 24th AIPR Workshop on Tools and Techniques for Modeling and Simulation, (19 February 1996); https://doi.org/10.1117/12.233054
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Cited by 6 scholarly publications.
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KEYWORDS
Optimization (mathematics)

Image segmentation

Roads

Cameras

Model-based design

3D modeling

Coastal modeling

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