Face Recognition: A Comparison of Appearance-Based Approaches

Thomas Heseltine; Nick Pears; Jim Austin; Zezhi Chen

Face Recognition: A Comparison of Appearance-Based Approaches

Thomas Heseltine, Nick Pears, Jim Austin, Zezhi Chen

Computer Science

Research output: Contribution to conference › Paper › peer-review

Abstract

We investigate the effect of image processing techniques when applied as a pre-processing step to three methods of face recognition: the direct correlation method, the eigenface method and fisherface method. Effectiveness is evaluated by comparing false acceptance rates, false rejection rates and equal error rates calculated from over 250,000 verification operations on a large test set of facial images, which present typical difficulties when attempting recognition, such as strong variations in lighting conditions and changes in facial expression. We identify some key advantages and determine the best image processing technique for each face recognition method.

Original language	Undefined/Unknown
Pages	59-68
Publication status	Published - 2003

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Cite this

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title = "Face Recognition: A Comparison of Appearance-Based Approaches",

abstract = "We investigate the effect of image processing techniques when applied as a pre-processing step to three methods of face recognition: the direct correlation method, the eigenface method and fisherface method. Effectiveness is evaluated by comparing false acceptance rates, false rejection rates and equal error rates calculated from over 250,000 verification operations on a large test set of facial images, which present typical difficulties when attempting recognition, such as strong variations in lighting conditions and changes in facial expression. We identify some key advantages and determine the best image processing technique for each face recognition method.",

author = "Thomas Heseltine and Nick Pears and Jim Austin and Zezhi Chen",

year = "2003",

language = "Undefined/Unknown",

pages = "59--68",

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TY - CONF

T1 - Face Recognition

T2 - A Comparison of Appearance-Based Approaches

AU - Heseltine, Thomas

AU - Pears, Nick

AU - Austin, Jim

AU - Chen, Zezhi

PY - 2003

Y1 - 2003

N2 - We investigate the effect of image processing techniques when applied as a pre-processing step to three methods of face recognition: the direct correlation method, the eigenface method and fisherface method. Effectiveness is evaluated by comparing false acceptance rates, false rejection rates and equal error rates calculated from over 250,000 verification operations on a large test set of facial images, which present typical difficulties when attempting recognition, such as strong variations in lighting conditions and changes in facial expression. We identify some key advantages and determine the best image processing technique for each face recognition method.

AB - We investigate the effect of image processing techniques when applied as a pre-processing step to three methods of face recognition: the direct correlation method, the eigenface method and fisherface method. Effectiveness is evaluated by comparing false acceptance rates, false rejection rates and equal error rates calculated from over 250,000 verification operations on a large test set of facial images, which present typical difficulties when attempting recognition, such as strong variations in lighting conditions and changes in facial expression. We identify some key advantages and determine the best image processing technique for each face recognition method.

M3 - Paper

SP - 59

EP - 68

ER -