Most of the local descriptors exists today are based on the relationship between the
neighborhood pixels and the center pixel by considering the 3× 3 spatial window. Moving …

The face is the most visible biometric feature considered in manual and automated systems
to identify individuals. In recent years, the inventions of low-cost high-resolution mobile …

Bilinear pooling achieves great success in fine-grained visual recognition (FGVC). Recent
methods have shown that the matrix power normalization can stabilize the second-order …

Face recognition is considered as important research in computer vision applications, and it
is regarded as the basic biometric security system. Research related to face recognition has …

In real video surveillance scenes, the extracted face regions generally have low-resolution
(LR) and are sensitive to pose and illumination variations; these flaws undoubtedly degrade …

With the increasing use of surveillance cameras, face recognition is being studied by many
researchers for security purposes. Although high accuracy has been achieved for frontal …

Land-use classification in very high spatial resolution images is critical in the remote sensing
field. Consequently, remarkable efforts have been conducted towards developing …

In this paper, we propose a Group-Sparse Representation-based method with applications
to Face Recognition (GSR-FR). The novel sparse representation variational model includes …

Sparse representation-based classification (SRC) has been shown to achieve a high level of
accuracy in face recognition (FR). However, matching faces captured in unconstrained video …

This paper models the driver face recognition problem under the intelligent traffic monitoring
systems as severe illumination variation face recognition with single sample problem. Firstly …