The MIT-CBCL face recognition database contains face images of 10 subjects.

We provide two training sets:

• High resolution pictures, including frontal, half-profile and profile view.
  

• Synthetic images (324/subject) rendered from 3D head models of the 10 subjects. The head models were generated by fitting a morphable model to the high-resolution training images. The 3D models are not included in the database.

The test set consists of 200 images per subject. We varied the illumination, pose (up to about 30 degrees of rotation in depth) and the background.