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 Vol. 28; no. 10; pp. 1695 - 1700
Main Authors:	Chang, K.I., Bowyer, W., Flynn, P.J.
Format:	Journal Article
Language:	English
Published:	Los Alamitos, CA IEEE 01.10.2006 IEEE Computer Society The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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 Biometrics Face recognition Image processing Facies three-dimensional face Tridimensional image Pattern recognition Pattern analysis Pattern matching Facial expression
ISSN:	0162-8828, 2160-9292, 1939-3539
Online Access:	Get full text
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