We propose an efficient and accurate head orientation estimation algorithm using a
monocular camera. Our approach is leveraged by deep neural network and we exploit the …

Collecting samples is one of the main difficulties for face recognition, for example, in most of
the real-world applications such as law enhancement, e-passport, and ID card identification …

In this study, we develop a central profile-based 3D face pose estimation algorithm. The
central profile is a unique curve on a 3D face surface that starts from forehead center, goes …

This paper addresses the problem of head pose estimation in order to infer non-intrusive
feedback from users about gaze attention. The proposed approach exploits the bilateral …

Accurate head yaw estimation is necessary for detecting driver inattention in forward
collision warning systems. In this paper, we propose three geometric models under the …

Although the ability to estimate the face pose and recognise its identity are common human
abilities, they are still a challenge in computer vision context. In this study, the authors aim to …

The paper proposes a method that takes into account the measurement uncertainty in
pattern recognition procedures, where, generally, an input is classified searching the most …

One major challenge encountered in face recognition is how to handle the wide pose
variation and in‐depth rotations of head. A multiview face recognition method is proposed in …

This paper tackles the problem of head pose estimation which has been considered an
important research task for decades. The proposed approach selects a set of features from …

This paper addresses a fine in-plane (roll) face orientation estimation for a perspective face
analysis algorithm that requires normalized frontal faces. As most of the face analysers (eg …