Overview of Object Detection and Image Analysis by Means of Genetic Programming Techniques

Created by W.Langdon from gp-bibliography.bib Revision:1.3838

@InProceedings{Krawiec:2007:FBIT,
  author =       "Krzysztof Krawiec and Daniel Howard and 
                 Mengjie Zhang",
  title =        "Overview of Object Detection and Image Analysis by
                 Means of Genetic Programming Techniques",
  booktitle =    "Proceedings of the 2007 International Conference
                 Frontiers in the Convergence of Bioscience and
                 Information Technologies (FBIT 2007)",
  year =         "2007",
  pages =        "779--784",
  address =      "Jeju Island, Korea",
  month =        oct # " 11-13",
  publisher =    "IEEE Press",
  keywords =     "genetic algorithms, genetic programming, computer
                 vision, object detection, image analysis, pattern
                 recognition",
  isbn13 =       "978-0-7695-2999-8",
  DOI =          "doi:10.1109/FBIT.2007.148",
  size =         "7 pages",
  abstract =     "This paper reviews the existing work in genetic
                 programming for object detection and image analysis. It
                 shortly introduces the reader into the fundamentals of
                 evolutionary computation and presents the basics of the
                 genetic programming paradigm (GP), providing a
                 rationale for the use of GP within computer vision and
                 pattern recognition, particularly when applied to
                 object detection and image analysis. It reviews the
                 past research on GP for vision, referring to real-world
                 applications where possible. It outlines possible
                 further research directions.",
}

Genetic Programming entries for Krzysztof Krawiec Daniel Howard Mengjie Zhang

Citations