Evolving Local Descriptor Operators through Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8051
- @InProceedings{Perez:evows09,
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author = "Cynthia B. Perez and Gustavo Olague",
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title = "Evolving Local Descriptor Operators through Genetic
Programming",
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booktitle = "Applications of Evolutionary Computing,
EvoWorkshops2009: {EvoCOMNET}, {EvoENVIRONMENT},
{EvoFIN}, {EvoGAMES}, {EvoHOT}, {EvoIASP},
{EvoINTERACTION}, {EvoMUSART}, {EvoNUM}, {EvoPhD},
{EvoSTOC}, {EvoTRANSLOG}",
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year = "2009",
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month = "15-17 " # apr,
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editor = "Mario Giacobini and Ivanoe {De Falco} and Marc Ebner",
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series = "LNCS",
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volume = "5484",
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publisher = "Springer Verlag",
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address = "Tubingen, Germany",
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pages = "414--419",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-01128-3",
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DOI = "doi:10.1007/978-3-642-01129-0_46",
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abstract = "This paper presents a new methodology based on Genetic
Programming that aims to create novel mathematical
expressions that could improve local descriptors
algorithms.We introduce the RDGP-ILLUM descriptor
operator that was learned with two image pairs
considering rotation, scale and illumination changes
during the training stage. Such descriptor operator has
a similar performance to our previous RDGP descriptor
proposed in Perez and Olague, while outperforming the
RDGP descriptor in object recognition application. A
set of experimental results have been used to test our
evolved descriptor against three state-of-the-art local
descriptors. We conclude that genetic programming is
able to synthesise image operators that outperform
significantly previous human-made designs.",
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notes = "EvoWorkshops2009",
- }
Genetic Programming entries for
Cynthia B Perez
Gustavo Olague
Citations