Object detection in multi-modal images using genetic programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8098
- @Article{bhanu:2004:ASC,
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author = "Bir Bhanu and Yingqiang Lin",
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title = "Object detection in multi-modal images using genetic
programming",
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journal = "Applied Soft Computing",
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year = "2004",
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volume = "4",
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number = "2",
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pages = "175--201",
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month = may,
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keywords = "genetic algorithms, genetic programming",
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broken = "http://www.sciencedirect.com/science/article/B6W86-4BV444R-1/2/7540dd938c0b2f3059b1afb5382bd28a",
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DOI = "doi:10.1016/j.asoc.2004.01.004",
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abstract = "In this paper, we learn to discover composite
operators and features that are synthesized from
combinations of primitive image processing operations
for object detection. Our approach is based on genetic
programming (GP). The motivation for using GP-based
learning is that we hope to automate the design of
object detection system by automatically synthesizing
object detection procedures from primitive operations
and primitive features. There are many basic operations
that can operate on images and the ways of combining
these primitive operations to perform meaningful
processing for object detection are almost infinite.
The human expert, limited by experience, knowledge and
time, can only try a very small number of conventional
combinations. Genetic programming, on the other hand,
attempts many unconventional combinations that may
never be imagined by human experts. In some cases,
these unconventional combinations yield exceptionally
good results. To improve the efficiency of GP, we
propose soft composite operator size limit to control
the code-bloat problem while at the same time avoid
severe restriction on the GP search. Our experiments,
which are performed on selected regions of images to
improve training efficiency, show that GP can
synthesize effective composite operators consisting of
pre-designed primitive operators and primitive features
to effectively detect objects in images and the learned
composite operators can be applied to the whole
training image and other similar testing images.",
- }
Genetic Programming entries for
Bir Bhanu
Yingqiang Lin
Citations