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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on pattern analysis and machine intelligence Jg. 28; H. 10; S. 1695 - 1700
Hauptverfasser: Chang, K.I., Bowyer, W., Flynn, P.J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Los Alamitos, CA IEEE 01.10.2006
IEEE Computer Society
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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
Bibliographie:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ISSN:0162-8828
2160-9292
1939-3539
DOI:10.1109/TPAMI.2006.210