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Abstract

Modeling problems in this book are addressed mainly from the computational viewpoint. The primary concerns are how to define an objective function for the optimal solution to a vision problem and how to find the optimal 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, so we usually look for an optimal one in the sense that an objective in which constraints are encoded is optimized.

Keywords

Energy Function Markov Random Field Gibbs Distribution Neighborhood System Markov Random Field Model 
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 2001

Authors and Affiliations

  • Stan Z. Li
    • 1
  1. 1.Beijing Sigma CenterMicrosoft Research ChinaBeijingChina

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