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

• 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
• DOI: 10.1109/TPAMI.2006.210

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