Multiple nose region matching for 3D face recognition under varying facial expression
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Updated: Jul 19, 2026

Dynamic Digital Biomarkers of Motor and Cognitive Function in Parkinson's Disease
Published on: July 24, 2019
Kyong I Chang1, Kevin W Bowyer, Patrick J Flynn
1Philips Medical Systems, 22100 Bothell Everett Hwy, Bothell, WA 98021, USA. Jin.Chang@philips.com
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.
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