Face recognition is one of the most active research fields of computer vision and pattern
recognition, with many practical and commercial applications including identification, access …

Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

Existing methods of 3D dthus limiting the scope of their practical applications. In this paper,
we propose a novel regression framework which makes a balance among speed, accuracy …

Deep learning, in particular the deep convolutional neural networks, has received
increasing interests in face recognition recently, and a number of deep learning methods …

This paper investigates the task of 2D human whole-body pose estimation, which aims to
localize dense landmarks on the entire human body including face, hands, body, and feet …

Over the last few years, increased interest has arisen with respect to age-related tasks in the
Computer Vision community. As a result, several" in-the-wild" databases annotated with …

The locations of the fiducial facial landmark points around facial components and facial
contour capture the rigid and non-rigid facial deformations due to head movements and …

We present a new loss function, namely Wing loss, for robust facial landmark localisation
with Convolutional Neural Networks (CNNs). We first compare and analyse different loss …

Face alignment, which fits a face model to an image and extracts the semantic meanings of
facial pixels, has been an important topic in CV community. However, most algorithms are …

Face alignment, which fits a face model to an image and extracts the semantic meanings of
facial pixels, has been an important topic in the computer vision community. However, most …