Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.7970
- @InProceedings{Naredo:2012:evolve,
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author = "Enrique Naredo and Enrique Dunn and
Leonardo Trujillo",
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title = "Disparity Map Estimation by Combining Cost Volume
Measures Using Genetic Programming",
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booktitle = "EVOLVE - A Bridge between Probability, Set Oriented
Numerics, and Evolutionary Computation {II}",
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year = "2012",
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editor = "Oliver Schuetze and Carlos A. {Coello Coello} and
Alexandru-Adrian Tantar and Emilia Tantar and
Pascal Bouvry and Pierre {Del Moral} and Pierrick Legrand",
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volume = "175",
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series = "Advances in Intelligent Systems and Computing",
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pages = "71--86",
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address = "Mexico City, Mexico",
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month = aug # " 7-9",
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publisher = "Springer",
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keywords = "genetic algorithms, genetic programming",
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isbn13 = "978-3-642-31519-0",
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DOI = "doi:10.1007/978-3-642-31519-0_5",
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abstract = "Stereo vision is one of the most active research areas
in modern computer vision. The objective is to recover
3-D depth information from a pair of 2-D images that
capture the same scene. This paper addresses the
problem of dense stereo correspondence, where the goal
is to determine which image pixels in both images are
projections of the same 3-D point from the observed
scene. The proposal in this work is to build a
non-linear operator that combines three well known
methods to derive a correspondence measure that allows
us to retrieve a better approximation of the ground
truth disparity of stereo image pair. To achieve this,
the problem is posed as a search and optimisation task
and solved with genetic programming (GP), an
evolutionary paradigm for automatic program induction.
Experimental results on well known benchmark problems
show that the combined correspondence measure produced
by GP outperforms each standard method, based on the
mean error and the percentage of bad pixels. In
conclusion, this paper shows that GP can be used to
build composite correspondence algorithms that exhibit
a strong performance on standard tests.",
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notes = "EVOLVE-2012",
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affiliation = "Doctorado en Ciencias de la Ingenieria, Departamento
de Ingenieria Electrica y Electronica, Instituto
Tecnologico de Tijuana, Blvd. Industrial y Av. ITR
Tijuana S/N, Mesa Otay, C.P. 22500 Tijuana, B.C.,
Mexico",
- }
Genetic Programming entries for
Enrique Naredo
Enrique Dunn
Leonardo Trujillo
Citations