Scale and Rotation-Robust Genetic Programming-Based Corner Detectors

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@InProceedings{Seo:2010:EvoINTELLIGENCE,
  author =       "Kisung Seo and Youngkyun Kim",
  title =        "Scale and Rotation-Robust Genetic Programming-Based
                 Corner Detectors",
  booktitle =    "EvoINTELLIGENCE",
  year =         "2010",
  editor =       "Cecilia {Di Chio} and Stefano Cagnoni and 
                 Carlos Cotta and Marc Ebner and Aniko Ekart and 
                 Anna I. Esparcia-Alcazar and Chi-Keong Goh and 
                 Juan J. Merelo and Ferrante Neri and Mike Preuss and 
                 Julian Togelius and Georgios N. Yannakakis",
  volume =       "6024",
  series =       "LNCS",
  pages =        "381--391",
  address =      "Istanbul",
  month =        "7-9 " # apr,
  organisation = "EvoStar",
  publisher =    "Springer",
  keywords =     "genetic algorithms, genetic programming",
  isbn13 =       "978-3-642-12238-5",
  DOI =          "doi:10.1007/978-3-642-12239-2_40",
  abstract =     "This paper introduces GP- (Genetic Programming-) based
                 robust corner detectors for scaled and rotated images.
                 Previous Harris, SUSAN and FAST corner detectors are
                 highly efficient for well-defined corners, but
                 frequently mis-detect as corners the corner-like edges
                 which are often generated in rotated images. It is very
                 difficult to avoid incorrectly detecting as corners
                 many edges which have characteristics similar to
                 corners. In this paper, we have focused on this
                 challenging problem and proposed using Genetic
                 Programming to do automated generation of corner
                 detectors that work robustly on scaled and rotated
                 images. Various terminal sets are presented and tested
                 to capture the key properties of corners. Combining
                 intensity-related information, several mask sizes, and
                 amount of contiguity of neighboring pixels of similar
                 intensity, allows a well-devised terminal set to be
                 proposed. This method is then compared to three
                 existing corner detectors on test images and shows
                 superior results.",
  notes =        "EvoINTELLIGENCE'2010 held in conjunction with
                 EuroGP'2010 EvoCOP2010 EvoBIO2010",
}

Genetic Programming entries for Kisung Seo Youngkyun Kim

Citations