%0 Conference Paper %1 ebner:1998:eioGP %A Ebner, Marc %B Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming %C Paris, France %D 1998 %E Poli, Riccardo %E Langdon, W. B. %E Schoenauer, Marc %E Fogarty, Terry %E Banzhaf, Wolfgang %I CSRP-98-10, The University of Birmingham, UK %K algorithms, genetic programming %P 6--10 %T On the Evolution of Interest Operators using Genetic Programming %U http://citeseer.ist.psu.edu/158450.html %X 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...

@inproceedings{ebner:1998:eioGP, 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...}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Paris, France}, author = {Ebner, Marc}, biburl = {https://www.bibsonomy.org/bibtex/238f7e2a3ee1d50c84111b962c14c0700/brazovayeye}, booktitle = {Late Breaking Papers at EuroGP'98: the First European Workshop on Genetic Programming}, editor = {Poli, Riccardo and Langdon, W. B. and Schoenauer, Marc and Fogarty, Terry and Banzhaf, Wolfgang}, interhash = {8b50c4b00e472d4fe48c4e86da92884f}, intrahash = {38f7e2a3ee1d50c84111b962c14c0700}, keywords = {algorithms, genetic programming}, month = {14-15 April}, notes = {EuroGP'98LB part of \cite{Poli:1998:egplb}}, pages = {6--10}, publisher = {CSRP-98-10, The University of Birmingham, UK}, publisher_address = {School of Computer Science}, size = {5 pages}, timestamp = {2008-06-19T17:39:01.000+0200}, title = {On the Evolution of Interest Operators using Genetic Programming}, url = {http://citeseer.ist.psu.edu/158450.html}, year = 1998 }