Towards the Automatic Construction of Machine Vision Systems using Genetic Programming

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

@PhdThesis{oechsle2009a,
  author =       "Olly Oechsle",
  title =        "Towards the Automatic Construction of Machine Vision
                 Systems using Genetic Programming",
  school =       "School of Computer Science and Electronic Engineering,
                 University of Essex",
  month =        sep,
  year =         "2009",
  address =      "UK",
  keywords =     "genetic algorithms, genetic programming",
  broken =       "http://vision.cs.man.ac.uk/theses/thesis.php?oechsle2009a",
  broken =       "http://vision.cs.man.ac.uk/theses/thesis.php?oechsle2009a&pdf",
  URL =          "http://vision.cs.man.ac.uk/theses/thesis.php?oechsle2009a&.pdf",
  URL =          "http://ethos.bl.uk/OrderDetails.do?did=41&uin=uk.bl.ethos.510504",
  size =         "231 pages",
  abstract =     "Computer vision is a topic that has interested
                 researchers and commercial organisations alike for some
                 time: it provides both a considerable intellectual
                 challenge, and a wide variety of useful applications,
                 some of which are now becoming ubiquitous. In this
                 thesis the author has studied means by which vision
                 software may be constructed automatically using Genetic
                 Programming (GP) -- a technique that learns how to
                 write programs during a simulation of Darwinian
                 evolution. This research addresses the question of how
                 one might create more complete vision systems using GP,
                 beyond simply proving the applicability of evolutionary
                 learning to particular image processing tasks. Research
                 into making Genetic Programming more suitable for
                 deployment as a generic learning tool is presented,
                 evaluated and assessed, and novel means by which
                 multi-stage vision systems can be constructed from
                 evolved components is described. The author does not
                 claim to have invented significant new paradigms in
                 either GP or mainstream computer vision -- rather the
                 focus is on bridging the gap between task-specific
                 applications and a generic learning framework. An
                 architecture for creating such applications is
                 presented, along with software that permits non-expert
                 users to create vision systems rapidly of a complexity
                 first equal to, then beyond that so-far published by GP
                 researchers.",
  notes =        "Winner 2009 Sullivan Doctoral Thesis Prize
                 http://www.bmva.org/w/sullivan uk.bl.ethos.510504",
}

Genetic Programming entries for Olly Oechsle

Citations