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3D Face Recognition using Longitudinal Section and Transection  

이영학 (영남대학교)
박건우 (강릉농공고등학교)
이태홍 (영남대학교 전자정보공학부)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.9, 2003 , pp. 885-893 More about this Journal
Abstract
In this paper, a new practical implementation of a person verification system using features of longitudinal section and transection and other facial, rotation compensated 3D face image, is proposed. The approach works by finding the nose tip that has a protrusion shape on the face. In feature recognition of 3D face image, one has to take into consideration the orientated frontal posture to normalize. Next, the special points in regions, such as nose, eyes and mouth are detected. The depth of nose, the area of nose and the volume of nose based both on the 3 longitudinal section and a transection are calculated. The eye interval and mouth width are also computed. Finally, the 12 features on the face were extracted. The Ll measure for comparing two feature vectors were used, because it is simple and robust. In the experimental results, proposed method achieves recognition rate of 95.5% for the longitudinal section and transection.
Keywords
3D face recognition; longitudinal section and transection;
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Times Cited By KSCI : 3  (Citation Analysis)
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