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3D Face Recognition using Projection Vectors and Surface Curvatures  

Park, Rocky (영남대학교 나노시스템공학과)
Lee, Yeung-Hak (영남대학교 전자정보공학부)
Yi, Tai-Hong (영남대학교 전자정보공학부)
Publication Information
Journal of KIISE:Software and Applications / v.33, no.1, 2006 , pp. 130-137 More about this Journal
Abstract
The depth information in the face represents personal features in detail. In particular, the surface curvatures extracted from the face contain the most important personal facial information. This surface curvature and together with grouped projection vector which reduces the dimensions resulting less computations are collaborated into the proposed 3D face recognition algorithm. The maximum and minimum curvature are calculated from the surface curvature image, which are grouped into projected vectors for recognition. The minimum curvature showed the best recognition rate among the surface parameters.
Keywords
Image Processing; 3D Image; Face Recognition;
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Times Cited By KSCI : 1  (Citation Analysis)
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