Many trait-specific countermeasures to face spoofing attacks have been developed for
security of face authentication. However, there is no superior face anti-spoofing technique to …

Face Recognition is a challenging task for recognizing and detecting the identity of an
individual. Although, plethora of work has already been done in the field of pattern …

Face recognition is receiving a significant attention due to the need of facing important
challenges when developing real applications under unconstrained environments. The …

With the aid of a universal facial variation dictionary, sparse representation based classifier
(SRC) has been naturally extended for face recognition (FR) with single sample per person …

Purpose Automated technologies have been applied to facility management (FM) practices
to address labour demands of, and time consumed by, inputting and processing manual …

The single sample per person (SSPP) problem is a great challenge for real-world face
recognition systems. In an SSPP scenario, there is always a large gap between a normal …

Video surveillance has attracted more and more interests in the last decade, video-based
Face Recognition (FR) therefore became an important task. However, the surveillance …

With rapid development of digital imaging and communication technologies, image set
based face recognition (ISFR) is becoming increasingly important and popular. On one …

In this paper, a customized sparse representation model is proposed to take advantage of
the variational information for undersampled face recognition. The proposed model with the …

Face recognition (FR) with a single training sample per person (SSPP) is a representative
small-sample-size classification problem and occurs in many practical scenarios such as …