Sparse representation has shown an attractive performance in a number of applications.
However, the available sparse representation methods still suffer from some problems, and …

Though most of the faces are axis-symmetrical objects, few real-world face images are axis-
symmetrical images. In the past years, there are many studies on face recognition, but only …

In this paper, a novel 3D face reconstruction technique is proposed along with a sequential
deep learning-based framework for face recognition. It uses the voxels generated from the …

The face almost always has an axis-symmetrical structure. However, as the face usually
does not have an absolutely frontal pose when it is imaged, the majority of face images are …

To extract salient features from images is significant for image classification. Deformable
objects suffer from the problem that a number of pixels may have varying intensities. In other …

Abstract Systems for still-to-video face recognition (FR) seek to detect the presence of target
individuals based on reference facial still images or mug-shots. These systems encounter …

Dictionary learning has become a research hotspot. How to construct a robust dictionary is a
key issue. In face recognition problem, differences in expressions, postures, and lighting …

This work proposes a novel face recognition method based on Zernike moments (ZMs) and
Hermite kernels (HKs) to cope with variations in facial expression, changes in head pose …

Detecting the surface defects of complex components exhibiting different visual properties in
positions, shapes, number and sizes is a challenging problem. In this paper a novel …

The sea surface vessel/ship classification is a challenging problem with enormous
implications to the world's global supply chain and militaries. The problem is similar to other …