CloudNet: A LiDAR-Based Face Anti-Spoofing Model That Is Robust Against Light Variation

Anti-spoofing, Face

LBP - TOP Based Countermeasure against Face Spoofing Attacks

User authentication is an important step to protect information and in this field face biometrics is advantageous. Face biometrics is natural, easy to use and less human-invasive. Unfortunately, recent work has revealed that face biometrics is vulnerable to spoofing attacks using low-tech cheap equipments. This article presents a countermeasure against such attacks based on the LBP −TOP operato...

Robust face detection against brightness fluctuation and size variation

This paper proposes a novel face detection method intended to be used for practical intelligent environment and human-interactive robot. Face detection and recognition are very crucial for such applications. However, in the real situation, it is not easy to realize the robust detecting function because position, size, and brightness of face image are much changeable. The proposed method solves ...

A Model of Illumination Variation for Robust Face Recognition

We recently introduced a novel approach to face recognition which consists in modeling the set of possible transformations between face images of the same person. While our previous work focused on geometric transformations to model facial expressions, in this article we consider feature transformations as a means to compensate for illumination variations. Although this approach requires to lea...

On Effectiveness of Anomaly Detection Approaches against Unseen Presentation Attacks in Face Anti-Spoofing

While face recognition systems got a significant boost in terms of recognition performance in recent years, they are known to be vulnerable to presentation attacks. Up to date, most of the research in the field of face anti-spoofing or presentation attack detection was considered as a two-class classification task: features of bona-fide samples versus features coming from spoofing attempts. The...