Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression

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 s...

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Bibliographic Details
Published in:IEEE transactions on pattern analysis and machine intelligence 2006-10, Vol.28 (10), p.1695-1700
Main Authors: Chang, K.I., Bowyer, W., Flynn, P.J.
Format: Article
Language:English
Subjects:
Algorithms
Applied sciences
Artificial Intelligence
Biometrics
Computer science
control theory
systems
Exact sciences and technology
Face - anatomy & histology
Face recognition
Facial
Facial Expression
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Information Storage and Retrieval - methods
Intelligence
Iterative closest point algorithm
Lips
Matching
Models, Biological
Mouth
Nose
Nose - anatomy & histology
Pattern analysis
Pattern Recognition, Automated - methods
Pattern recognition. Digital image processing. Computational geometry
Predictive models
Principal component analysis
Probes
Reproducibility of Results
Sensitivity and Specificity
Shape
Three dimensional
three-dimensional face
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Summary: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
ISSN:0162-8828
1939-3539
2160-9292
DOI:10.1109/TPAMI.2006.210