A Method for Reducing the Cardinality of the Pareto Front

  • Ivan Cabezas
  • Maria Trujillo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)


Multi-objective problems are characterised by the presence of a set of optimal trade-off solutions –a Pareto front–, from which a solution has to be selected by a decision maker. However, selecting a solution from a Pareto front depends on large quantities of solutions to select from and dimensional complexity due to many involved objectives, among others. Commonly, the selection of a solution is based on preferences specified by a decision maker. Nevertheless a decision maker may have not preferences at all. Thus, an informed decision making process has to be done, which is difficult to achieve. In this paper, selecting a solution from a Pareto front is addressed as a multi-objective problem using two utility functions and operating in the objective space. A quantitative comparison of stereo correspondence algorithms performance is used as an application domain.


Multi-objective problems Pareto front decision making computer vision stereo correspondence quantitative evaluation 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Ivan Cabezas
    • 1
  • Maria Trujillo
    • 1
  1. 1.Laboratorio de Investigación en Multimedia y VisiónEscuela de Ingeniería de Sistemas y Computación, Ciudad Universitaria MeléndezCaliColombia

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