Cartographic applications of model-based optimization

被引：0
|
作者：
Fua, P
机构：
来源：
IMAGE UNDERSTANDING WORKSHOP, 1996 PROCEEDINGS, VOLS I AND II | 1996年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：409 / 419
页数：5
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