  In this paper, we investigate the use of 3D surface geometry for face
recognition and compare it to one based on color map information. The 3D
surface and color map data are from the CAESAR anthropometric database. We find
that the recognition performance is not very different between 3D surface and
color map information using a principal component analysis algorithm. We also
discuss the different techniques for the combination of the 3D surface and
color map information for multi-modal recognition by using different fusion
approaches and show that there is significant improvement in results. The
effectiveness of various techniques is compared and evaluated on a dataset with
200 subjects in two different positions.
