Evolutionary feature synthesis for facial expression recognition
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- @Article{JiangangYu:2006:PRL,
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author = "Jiangang Yu and Bir Bhanu",
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title = "Evolutionary feature synthesis for facial expression
recognition",
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journal = "Pattern Recognition Letters",
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year = "2006",
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volume = "27",
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number = "11",
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pages = "1289--1298",
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month = aug,
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note = "Evolutionary Computer Vision and Image Understanding",
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keywords = "genetic algorithms, genetic programming, Feature
learning, Gabor filters",
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DOI = "doi:10.1016/j.patrec.2005.07.026",
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abstract = "Feature extraction is one of the key steps in object
recognition. In this paper we propose a novel
genetically inspired learning method for facial
expression recognition (FER). Unlike current research
on facial expression recognition that generally selects
visually meaningful feature by hands, our learning
method can discover the features automatically in a
genetic programming-based approach that uses Gabor
wavelet representation for primitive features and
linear/nonlinear operators to synthesise new features.
These new features are used to train a support vector
machine classifier that is used for recognising the
facial expressions. The learned operator and classifier
are used on unseen testing images. To make use of
random nature of a genetic program, we design a
multi-agent scheme to boost the performance. We compare
the performance of our approach with several approaches
in the literature and show that our approach can
perform the task of facial expression recognition
effectively.",
- }
Genetic Programming entries for
Jiangang Yu
Bir Bhanu
Citations