This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We characterise the shape of the ...
This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We characterise the shape of the ...
This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We characterise the shape of the ...
Face Recognition Using Principal Geodesic Analysis and Manifold ...
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Abstract. This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We.
This paper describes how face recognition can be effected using 3D shape information extracted from single 2D image views. We characterise the shape of the ...
Bibliographic details on Face Recognition Using Principal Geodesic Analysis and Manifold Learning.
Face Recognition Using Principal Geodesic Analysis and Manifold Learning ... facial normals using a statistical model based on principal geodesic analysis.
In this paper, a discriminative manifold learning method for face recognition is proposed which achieved the dis- criminative embedding the high dimensional ...
An original face recognition approach based on 2D and 3D Radial Geodesic Distances (RGDs), respectively computed on 2D face images and 3D face models, is ...
technique in this analysis is to learn the low-dimensional projection of illumination and ... Kernel Principal Component Analysis and its Applications in Face.