• DocumentCode
    3479584
  • Title

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

  • Author

    Krawiec, Krzysztof ; Howard, Daniel ; Zhang, Mengjie

  • Author_Institution
    Inst. of Comput. Sci., Poznan Univ. of Technol., Poznan
  • fYear
    2007
  • fDate
    11-13 Oct. 2007
  • Firstpage
    779
  • Lastpage
    784
  • 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.
  • Keywords
    computer vision; genetic algorithms; object detection; computer vision; genetic programming; image analysis; object detection; pattern recognition; Differential equations; Evolutionary computation; Genetic programming; Humans; Image analysis; Information technology; Mathematics; Object detection; Programmable control; Statistical analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Frontiers in the Convergence of Bioscience and Information Technologies, 2007. FBIT 2007
  • Conference_Location
    Jeju City
  • Print_ISBN
    978-0-7695-2999-8
  • Type

    conf

  • DOI
    10.1109/FBIT.2007.148
  • Filename
    4524206