Title :
Multiple Nose Region Matching for 3D Face Recognition under Varying Facial Expression
Author :
Chang, K.I. ; Bowyer, W. ; Flynn, P.J.
Author_Institution :
Philips Medical Syst., Bothell, WA
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
Keywords :
edge detection; emotion recognition; face recognition; image matching; 3D face recognition; multiple nose region matching; multiple overlapping regions; nose; shape matching; varying facial expression; Databases; Face recognition; Iterative closest point algorithm; Lips; Mouth; Nose; Predictive models; Principal component analysis; Probes; Shape; Biometrics; face recognition; facial expression.; three-dimensional face; Algorithms; Artificial Intelligence; Face; Facial Expression; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Biological; Nose; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2006.210
