Knowledge-Based Control of Vision Systems

Authors:

C, Shekhar and S. Moisan and R. Vincent and P. Burlina and R. Chellappa

Abstract:

We propose a framework for the development of vision systems that incorporate, along with the executable computer algorithms, the problem-solving knowledge required to obtain optimal performance from them. In this approach, the user provides the input data, specifies the vision task to be performed, and then provides feedback in the form of qualitative evaluations of the results obtained. These assessments are interpreted in a knowledge-based framework to automatically select algorithms and set parameters until results of the desired quality are obtained. This approach is illustrated on two real applications, and example from the knowledge bases developed are discussed in detail.

Keywords:
Vision system, knowledge-based control, self-tuning, algorithm selection, parameter tuning

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BibTeX reference:

@ARTICLE{IVC98,
     AUTHOR   = {Shekhar, C. and Moisan, S. and Vincent, R. and Burlina, P. and Chellappa, R.},
     TITLE   = {Knowledge-based Control of Vision Systems},
     JOURNAL = {Image and Vision Computing},
     VOLUME  = {17},
     NUMBER  = {},
     PAGES   = {667-683}
}

Dernière mise à jour : 15/03/01
Agnes.Cortell@sophia.inria.fr