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Abstract

Visual modeling in this book is addressed mainly from the computational viewpoint. It concerns how to define an objective function for the optimal solution to a vision problem and how to find the solution. The reason for defining the solution in an optimization sense is due to various uncertainties in vision processes. It may be difficult to find the perfect solution and we usually look for some optimal solution to optimally satisfy certain constraints.

Keywords

Energy Function Markov Random Field Minimum Description Length Gibbs Distribution Neighborhood System 
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 Japan 1995

Authors and Affiliations

  • S. Z. Li
    • 1
  1. 1.School of Electrical and Electronic EngineeringNanyang Technological UniversitySingapore

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