Facial Recognition System is a computer technology that uses a variety of algorithms that
identify the human face in digital images, identify the person and then verify the captured …

Multimodal face anti-spoofing systems adopt multiple sensor modalities, such as infrared,
color, depth, and thermal, to distinguish between living and spoofing faces via …

In the human body, the face is the most crucial factor in identifying each person as it contains
many vital details. There are different prevailing methods to capture person's presence like …

Artificial intelligence (AI) is referred to as the intelligence developed by machines with
mathematical modeling. In particular, AI is manifested by machine's ability to effectively …

Despite natural image shadow removal methods have made significant progress, they often
perform poorly for facial image due to the unique features of the face. Moreover, most …

We can identify human faces using a web Camera which is known as Face Detection. This is
a very effective technique in computer technology. There are used different types of …

In recent years, deep neural networks (DNNs) have provided high performances for various
tasks, such as human activity recognition (HAR), in view of their end-to-end training process …

Context understanding is important for salient object detection (SOD) in complex scenes. To
alleviate visual confusion, we propose a context aware network that full use of the same type …

Human face recognition research in biometric applications is a popular research subject
because of its various applications and challenges, including camera type, pose, light or …

Faces are a crucial environmental trigger. They communicate information about several key
features, including identity. However, the 2019 coronavirus pandemic (COVID-19) …