3D Face Recognition using Projection Vectors and Surface Curvatures
Rocky Park, Yeunghak Lee, Tai-Hong Yi · Jeongbo gwahaghoe nonmunji. so'peuteuweeo mich eung'yong · 2006
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.