Image-based Aging Using Evolutionary Computing
Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
- @Article{Hubball:2008:CGF,
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author = "Daniel Hubball and Min Chen and Phil W. Grant",
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title = "Image-based Aging Using Evolutionary Computing",
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journal = "Computer Graphics Forum",
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year = "2008",
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volume = "27",
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number = "2",
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pages = "607--616",
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note = "EUROGRAPHICS 2008 / G. Drettakis and R. Scopigno
(Guest Editors)",
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keywords = "genetic algorithms, genetic programming, I.3.3
Computer Graphics, Picture/Image Generation; I.3.6
Computer Graphics, Methodology and Techniques; I.2.8
Artificial Intelligence, Problem Solving, Control
Methods and Search",
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ISSN = "1467-8659",
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publisher = "Blackwell Publishing Ltd",
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URL = "http://dx.doi.org/10.1111/j.1467-8659.2008.01158.x",
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DOI = "doi:10.1111/j.1467-8659.2008.01158.x",
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abstract = "Ageing has considerable visual effects on the human
face and is difficult to simulate using a
universally-applicable global model. In this paper, we
focus on the hypothesis that the patterns of age
progression (and regression) are related to the face
concerned, as the latter implicitly captures the
characteristics of gender, ethnic origin, and age
group, as well as possibly the person-specific
development patterns of the individual. We use a
data-driven framework for automatic image-based facial
transformation in conjunction with a database of facial
images. We build a novel parametrised model for
encoding age-transformation in addition with the
traditional model for face description. We use
evolutionary computing to learn the relationship
between the two models. To support this work, we also
developed a new image warping algorithm based on
non-uniform radial basis functions (NURBFs).
Evolutionary computing was also used to handle the
large parameter space associated with NURBFs. In
comparison with several different methods, it
consistently provides the best results against the
ground truth.",
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notes = "Also known as \cite{CGF:CGF1158}",
- }
Genetic Programming entries for
Daniel Hubball
Min Chen
Phil W Grant
Citations