Lock3DFace: A large-scale database of low-cost Kinect 3D faces

Abstract

In this paper, we present a large-scale database consisting of low cost Kinect 3D face videos, namely Lock3DFace, for 3D face analysis, particularly for 3D Face Recognition (FR). To the best of our knowledge, Lock3DFace is currently the largest low cost 3D face database for public academic use. The 3D samples are highly noisy and contain a diversity of variations in expression, pose, occlusion, time lapse, and their corresponding texture and near infrared channels have changes in lighting condition and radiation intensity, allowing for evaluating FR methods in complex situations. Furthermore, based on Lock3DFace, we design the standard experimental protocol for low-cost 3D FR, and give the baseline performance of individual subsets belonging to different scenarios for fair comparison in the future.