Engineering of Computer Vision Algorithms Using Evolutionary Algorithms
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{DBLP:conf/acivs/Ebner09,
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author = "Marc Ebner",
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title = "Engineering of Computer Vision Algorithms Using
Evolutionary Algorithms",
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booktitle = "Proceedings of the 11th International Conference on
Advanced Concepts for Intelligent Vision Systems, ACIVS
2009",
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year = "2009",
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editor = "Jacques Blanc-Talon and Wilfried Philips and
Dan Popescu and Paul Scheunders",
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series = "Lecture Notes in Computer Science",
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volume = "5807",
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pages = "367--378",
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address = "Bordeaux, France",
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month = sep # " 28-" # oct # " 2",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming, GPU, OpenGLSL",
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isbn13 = "978-3-642-04696-4",
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URL = "http://www.ra.cs.uni-tuebingen.de/mitarb/ebner/research/publications/uniTu2/EvoCVengineering.pdf",
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DOI = "doi:10.1007/978-3-642-04697-1_34",
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size = "12 pages",
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abstract = "Computer vision algorithms are currently developed by
looking up the available operators from the literature
and then arranging those operators such that the
desired task is performed. This is often a tedious
process which also involves testing the algorithm with
different lighting conditions or at different sites. We
have developed a system for the automatic generation of
computer vision algorithms at interactive frame rates
using GPU accelerated image processing. The user simply
tells the system which object should be detected in an
image sequence. Simulated evolution, in particular
Genetic Programming, is used to automatically generate
and test alternative computer vision algorithms. Only
the best algorithms survive and eventually provide a
solution to the user's image processing task.",
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notes = "Interactive evolution of image processing software.
Realtime 30 seconds. OpenGL shader language. mip
mapping. nVidia GeForce 9600 GT/PCI/SEE2
",
- }
Genetic Programming entries for
Marc Ebner
Citations