Effects of 3D registration on subspace based face recognition methods

The effect of 3D registation is examined through various subspace based recognition algorithms. Iterative Closest Point (ICP) algorithm and its variations are used for registration and Eigenface, Fisherface, NMF (Nonnegative Matrix Factorization) and ICA (Independent Component Analysis) are used for recognition. It is observed that ICP and its variations converges to the place on the database FRGC v.1 used. Among the recognition algorithms Fisher-face and ICA are performed better than the others.