language: en

Parametric Models are Versatile: The Case of Model Based Optimization

P. Fua
Artificial Intelligence Center SRI International
333 Ravenswood Avenue Menlo Park, California 94025

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.

1 Introduction