Inproceedings,

On the Evolution of Interest Operators using Genetic Programming

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Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming, page 6--10. Paris, France, CSRP-98-10, The University of Birmingham, UK, (14-15 April 1998)

Abstract

Interest operators play an important role in computer vision. Depending on the type of the environment some features may prove to be more advantageous than others. Thus detection of interesting features has to be made adaptive such that the best features according to some measure are extracted. We are trying to evolve such feature detectors using genetic programming. In this paper we describe our results where the desired operator, which is a Moravec interest operator, is directly specified. We show that the problem is a rather difficult one. Only an approximation to the Moravec operator could be evolved using several sets of elementary functions. 1 Motivation Interest operators play an important role in computer vision 8. They highlight points which can be found easily using simple correlation methods. They can be used to calculate accurate distance information and for map building 23. However no interest operator is suitable for all types of environments. A mobile robot which ma...

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