Multiple nose region matching for 3D face recognition under varying facial expression

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Multiple nose region matching for 3D face recognition under varying facial expression (2006)

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by Kyong I. Chang , Kevin W. Bowyer , Patrick J. Flynn , Senior Member

Venue:	IEEE Transaction on Pattern Analysis and Machine Intelligence 28
Citations:	92 - 6 self

BibTeX

@ARTICLE{Chang06multiplenose,
    author = {Kyong I. Chang and Kevin W. Bowyer and Patrick J. Flynn and Senior Member},
    title = {Multiple nose region matching for 3D face recognition under varying facial expression},
    journal = {IEEE Transaction on Pattern Analysis and Machine Intelligence 28},
    year = {2006},
    volume = {28},
    pages = {1695--1700}
}

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Abstract

Abstract—An algorithm is proposed for 3D face recognition in the presence of varied facial expressions. It is based on combining the match scores from matching multiple overlapping regions around the nose. Experimental results are presented using the largest database employed to date in 3D face recognition studies, over 4,000 scans of 449 subjects. Results show substantial improvement over matching the shape of a single larger frontal face region. This is the first approach to use multiple overlapping regions around the nose to handle the problem of expression variation. Index Terms—Biometrics, face recognition, three-dimensional face, facial expression. 1

Keyphrases

face recognition facial expression multiple nose region three-dimensional face face recognition study index term biometrics first approach expression variation experimental result substantial improvement frontal face region varied facial expression

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