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AVBPA
2005
Springer

Local Feature Based 3D Face Recognition

8 years 9 months ago
Local Feature Based 3D Face Recognition
This paper presents a 3D face recognition system based on geometrically localized facial features. We propose the feature extraction procedure using the geometrical characteristics of a face. We extract three curvatures, eight invariant facial feature points and their relative features. These features are directly applied to face recognition algorithms which are a depth-based DP (Dynamic Programming) and a feature-based SVM (Support Vector Machine). Experimental results show that face recognition rates based on the depth-based DP and the feature-based SVM are 95% for 20 people and 96% for 100 people, respectively.
Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Sh
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where AVBPA
Authors Yonguk Lee, Hwanjong Song, Ukil Yang, Hyungchul Shin, Kwanghoon Sohn
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