Evolution of a local boundary detector for natural images via genetic programming and texture cues

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@InProceedings{DBLP:conf/gecco/KadarBS09,
  author =       "Ilan Kadar and Ohad Ben-Shahar and Moshe Sipper",
  title =        "Evolution of a local boundary detector for natural
                 images via genetic programming and texture cues",
  booktitle =    "GECCO '09: Proceedings of the 11th Annual conference
                 on Genetic and evolutionary computation",
  year =         "2009",
  editor =       "Guenther Raidl and Franz Rothlauf and 
                 Giovanni Squillero and Rolf Drechsler and Thomas Stuetzle and 
                 Mauro Birattari and Clare Bates Congdon and 
                 Martin Middendorf and Christian Blum and Carlos Cotta and 
                 Peter Bosman and Joern Grahl and Joshua Knowles and 
                 David Corne and Hans-Georg Beyer and Ken Stanley and 
                 Julian F. Miller and Jano {van Hemert} and 
                 Tom Lenaerts and Marc Ebner and Jaume Bacardit and 
                 Michael O'Neill and Massimiliano {Di Penta} and Benjamin Doerr and 
                 Thomas Jansen and Riccardo Poli and Enrique Alba",
  pages =        "1887--1888",
  address =      "Montreal",
  publisher =    "ACM",
  publisher_address = "New York, NY, USA",
  month =        "8-12 " # jul,
  organisation = "SigEvo",
  keywords =     "genetic algorithms, genetic programming, Poster",
  isbn13 =       "978-1-60558-325-9",
  bibsource =    "DBLP, http://dblp.uni-trier.de",
  DOI =          "doi:10.1145/1569901.1570218",
  abstract =     "Boundary detection constitutes a crucial step in many
                 computer vision tasks. We present a learning approach
                 for automatically constructing high-performance local
                 boundary detectors for natural images via genetic
                 programming (GP). Our GP system is unique in that it
                 combines filter kernels that were inspired by models of
                 processing in the early stages of the primate visual
                 system, but makes no assumptions about what constitutes
                 a boundary, thus avoiding the need to make ad hoc
                 intuitive definitions. By testing our evolved boundary
                 detectors on a highly challenging benchmark set of
                 natural images with associated human-marked boundaries,
                 we show performance that outperforms most existing
                 approaches.",
  notes =        "GECCO-2009 A joint meeting of the eighteenth
                 international conference on genetic algorithms
                 (ICGA-2009) and the fourteenth annual genetic
                 programming conference (GP-2009).

                 ACM Order Number 910092.",
}

Genetic Programming entries for Ilan Kadar Ohad Ben-Shahar Moshe Sipper

Citations