3. The face recognition method according to claim 1 , wherein steps for reconstructing said 3D face model for said original face image include: constructing said 3D morphable face model, wherein said 3D morphable face model comprises a 3D geometry data set and a 3D texture data set; expressing said 3D morphable face model by a linear combination of a plurality of eigen head basis vectors; and obtaining a geometry data set, a texture data set and 3D characteristic parameters by photometric error minimization for reconstructing said 3D face model corresponding to said original face image.
4. The face recognition method according to claim 3 , wherein said 3D geometry data set can be expressed as: S=(x 1 , y 1 , z 1 , x 2 , y 2 , z 2 , . . . , x N , y N , z N )ε , wherein N is the number of facial sampling points.