3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

This paper presents a comprehensive review of Automatic Facial Recognition Systems
using integrative and systematic mapping approach. The review is grounded on criteria …

The federated learning provides an effective solution to train collaborative models over a
large scale of participated Industrial Internet of Things (IIoT) applications with the help of a …

The key challenge of face recognition is to develop an effective feature representations for
reducing intrapersonal variations while enlarging interpersonal differences. In this paper, we …

This study aims to build a face recognition prototype that can recognize multiple face objects
within one frame. The proposed method uses a local binary pattern histogram and Haar …

Abstract Recently, Dual-Pixel (DP) sensors have been adopted in many imaging devices.
However, despite their various advantages, DP sensors are used just for faster auto-focus …

With the development of artificial intelligence (AI) and the constraints on offline activities
imposed due to the sudden outbreak of the COVID epidemic, the Metaverse has recently …

3D face reconstruction algorithms from images and videos are applied to many fields, from
plastic surgery to the entertainment sector, thanks to their advantageous features. However …

Despite extensive research, 3D face reconstruction from a single image remains an open
research problem due to the high degree of variability in pose, occlusions and complex …

The development of the Internet of Things and 3D technology promotes the wide application
of face models in 3D animation. However, because the expression is inconsistent with the …