Automatic facial expression recognition constitutes an active research field due to the latest
advances in computing technology that make the user's experience a clear priority. The …

Abstract 3D face recognition has become a trending research direction in both industry and
academia. It inherits advantages from traditional 2D face recognition, such as the natural …

In this article, we provide a detailed survey of 3D Morphable Face Models over the 20 years
since they were first proposed. The challenges in building and applying these models …

We present a random forest-based framework for real time head pose estimation from depth
images and extend it to localize a set of facial features in 3D. Our algorithm takes a voting …

This paper presents a novel and efficient deep fusion convolutional neural network (DF-
CNN) for multimodal 2D+ 3D facial expression recognition (FER). DF-CNN comprises a …

Human pose estimation has been actively studied for decades. While traditional approaches
rely on 2d data like images or videos, the development of Time-of-Flight cameras and other …

Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …

Existing AU detection algorithms are mainly based on appearance information extracted
from 2D images, and well-established facial biomechanics that governs 3D facial skin …

Methods to recognize humans' facial expressions have been proposed mainly focusing on
2D still images and videos. In this paper, the problem of person-independent facial …

In this paper, the problem of person-independent facial expression recognition is addressed
on 3D shapes. To this end, an original approach is proposed that computes SIFT descriptors …