We address in this paper automatic face verification from 3D facial surface
and grey level analysis, 3D acquisition is performed by a structured light
system, adapted to face capture and allowing grey level acquisition in ali
gnment. The 3D facial shapes are compared and the residual error after 3D m
atching is used as a first similarity measure. A second similarity measure
is derived from grey level comparison. As expected, fusing 3D and intensity
information increases verification performances. The acquisition system, t
he 3D and grey level comparison algorithms were designed to be integrated i
n security applications in which individuals cooperate. (C) 2001 Elsevier S
cience B.V. All rights reserved.