Multiple nose region matching for 3D face recognition under varying facial expression

KI Chang, KW Bowyer, PJ Flynn - IEEE Transactions on Pattern …, 2006 - ieeexplore.ieee.org
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006ieeexplore.ieee.org
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 …
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
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