Genetic prOgramming for image feature descriptor learning
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @InProceedings{price:2017:CEC,
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author = "Stanton R. Price and Derek T. Anderson",
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booktitle = "2017 IEEE Congress on Evolutionary Computation (CEC)",
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title = "Genetic prOgramming for image feature descriptor
learning",
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year = "2017",
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editor = "Jose A. Lozano",
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pages = "854--860",
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address = "Donostia, San Sebastian, Spain",
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publisher = "IEEE",
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isbn13 = "978-1-5090-4601-0",
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abstract = "It is widely accepted that feature extraction is quite
possibly the most critical step in computer vision.
Typically, feature extraction is performed using a
method such as the histogram of oriented gradients. In
recent years, a shift has occurred from human to
machine learned features, e.g., convolutional neural
networks (CNNs) and Evolution-Constructed (ECO)
features. An advantage of our improved ECO (iECO)
framework is it optimizes features on a per-descriptor
basis. Herein, iECO is extended in order to represent a
richer class of features, namely arithmetic
combinations and compositions of iECOs. This extension,
called Genetic programming Optimal Feature Descriptor
(GOOFeD) is based on genetic programming (GP). Three
experiments are performed on data from a U.S. Army test
site that contains multiple target and clutter types,
burial depths, and times of day for automatic buried
explosive hazard detection. The first two experiments
focus on GOOFeD initialization and parameter selection.
The last experiment demonstrates that GOOFeD is
superior to iECO in terms of the fitness of evolved
individuals.",
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keywords = "genetic algorithms, genetic programming, computer
vision, feature extraction, CNN, ECO features, GOOFeD
initialization, GP, Genetic programming Optimal Feature
Descriptor, automatic buried explosive hazard
detection, burial depths, convolutional neural
networks, evolution-constructed features, histogram of
oriented gradients, iECO framework, image feature
descriptor learning, parameter selection, Computers,
Histograms, Transforms, feature learning, image
processing",
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isbn13 = "978-1-5090-4601-0",
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DOI = "doi:10.1109/CEC.2017.7969398",
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month = "5-8 " # jun,
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notes = "IEEE Catalog Number: CFP17ICE-ART Also known as
\cite{7969398}",
- }
Genetic Programming entries for
Stanton R Price
Derek T Anderson
Citations