The goal of this paper is to review the state-of-the-art progress on visual tracking methods,
classify them into different categories, as well as identify future trends. Visual tracking is a …

The limited capacity to recognise faces under occlusions is a long‐standing problem that
presents a unique challenge for face recognition systems and even humans. The problem …

Face recognition is one of the most common biometric authentication methods as its
feasibility while convenient use. Recently, the COVID-19 pandemic is dramatically …

Rice disease recognition is crucial in automated rice disease diagnosis systems. At present,
deep convolutional neural network (CNN) is generally considered the state-of-the-art …

Deep learning, in particular Convolutional Neural Network (CNN), has achieved promising
results in face recognition recently. However, it remains an open question: why CNNs work …

Local binary pattern (LBP) is a nonparametric descriptor, which efficiently summarizes the
local structures of images. In recent years, it has aroused increasing interest in many areas …

To protect the medical images integrity, digital watermark is embedded into the medical
images. A non-blind medical image watermarking scheme based on hybrid transform is …

Local feature descriptor is an important module for face recognition and those like Gabor
and local binary patterns (LBP) have proven effective face descriptors. Traditionally, the form …

Virtualization is being widely adopted in today's computing systems. Its unique security
advantages in isolating and introspecting commodity OSes as virtual machines (VMs) have …

The computer-vision-based surface defect detection of metal planar materials is a research
hotspot in the field of metallurgical industry. The high standard of planar surface quality in …