A 3D face registration and recognition approach is proposed.
Pose correction is evaluated through various correction parameters.
Face range images are divided into different regions and features are extracted.
Ensemble classifier is used to fuse results using features from different regions.
Results show mark improvement in registration accuracy and recognition rates.