Minimization — Local Methods

  • S. Z. Li
Part of the Computer Science Workbench book series (WORKBENCH)


After the energy function E(f), including both the functional form and the involved parameters, is given and thus the optimal solution f* = min f E(f) is entirely defined, the remaining problem is to find the solution. It is most desirable to express the solution in closed-form but generally, this is very difficult in vision problems due to the complexity caused by interactions between labels. Therefore, optimal solutions are usually computed by using some iterative search techniques. This chapter describes techniques for finding local minima and discusses related issues.


Penalty Function Local Method Gradient Projection Lagrange Multiplier Method Compatibility Function 
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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