  Face verification is a fast-growing authentication tool for everyday systems,
such as smartphones. While current 2D face recognition methods are very
accurate, it has been suggested recently that one may wish to add a 3D sensor
to such solutions to make them more reliable and robust to spoofing, e.g.,
using a 2D print of a person's face. Yet, this requires an additional
relatively expensive depth sensor. To mitigate this, we propose a novel
authentication system, based on slim grayscale coded light field imaging. We
provide a reconstruction free fast anti-spoofing mechanism, working directly on
the coded image. It is followed by a multi-view, multi-modal face verification
network that given grayscale data together with a low-res depth map achieves
competitive results to the RGB case. We demonstrate the effectiveness of our
solution on a simulated 3D (RGBD) version of LFW, which will be made public,
and a set of real faces acquired by a light field computational camera.
