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Regularization and Modeling

  • Bernd Jähne

Abstract

The model-based segmentation technique discussed in Section 16.5 is a first step toward integrating global information into the process of object recognition. It is an inflexible technique, however, as it requires an exact parameterization of the objects to be detected. For real objects, it is often not possible to establish such an explicit type of model.

Keywords

Optical Flow Point Spread Function Lagrange Function Linear Equation System Smoothness Constraint 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Bernd Jähne
    • 1
  1. 1.Interdisciplinary Center for Scientific ComputingUniversity of HeidelbergHeidelbergGermany

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