Face Recognition is a computer application that is capable of detecting, tracking, identifying
or verifying human faces from an image or video captured using a digital camera. Although …

Facial landmark detection, a crucial aspect of face recognition, is widely used in various
fields, such as facial surgeries, biometrics, and surveillance systems. With the advancement …

Modern face recognition systems usually combine RGB, depth, and infrared cameras to do
face antispoofing, but they are still not robust enough to unknown 3D high-quality mask …

Background: The scarcity of 3D facial models presents a significant hurdle for researchers
and educators. Gathering such data demands substantial resources. Objective: To introduce …

Human face image analysis using machine learning is an important element in computer
vision. The human face image conveys information such as age, gender, identity, emotion …

In today's era of digitization, social media platforms play a significant role in networking and
influencing the perception of the general population. Social network sites have recently …

Facial Recognition is the task of processing an image or video content in order to identify
and recognize the faces of individuals. Its area of applications are wide and a lot of research …

Abstract According to Oxford and Cambridge dictionary, the attested meaning of monitoring
is an uninterrupted observation towards a particular circumstance for a specific period and …

Face recognition in uncontrolled environments is a challenging problem in computer vision
due to occlusion, pose, and illumination changes. While machine learning techniques …

Estimating an individual's age from a photograph of their face is critical in many applications,
including intelligence and defense, border security and human-machine interaction, as well …