Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications

CA Corneanu, MO Simón, JF Cohn… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Facial expressions are an important way through which humans interact socially. Building a
system capable of automatically recognizing facial expressions from images and video has …

Static and dynamic 3D facial expression recognition: A comprehensive survey

G Sandbach, S Zafeiriou, M Pantic, L Yin - Image and Vision Computing, 2012 - Elsevier
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 …

Emoca: Emotion driven monocular face capture and animation

R Daněček, MJ Black, T Bolkart - Proceedings of the IEEE …, 2022 - openaccess.thecvf.com
As 3D facial avatars become more widely used for communication, it is critical that they
faithfully convey emotion. Unfortunately, the best recent methods that regress parametric 3D …

3D facial expression recognition using SIFT descriptors of automatically detected keypoints

S Berretti, B Ben Amor, M Daoudi, A Del Bimbo - The Visual Computer, 2011 - Springer
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 …

An efficient multimodal 2D+ 3D feature-based approach to automatic facial expression recognition

H Li, H Ding, D Huang, Y Wang, X Zhao… - Computer Vision and …, 2015 - Elsevier
We present a fully automatic multimodal 2D+ 3D feature-based facial expression recognition
approach and demonstrate its performance on the BU–3DFE database. Our approach …

3D approaches and challenges in facial expression recognition algorithms—a literature review

F Nonis, N Dagnes, F Marcolin, E Vezzetti - Applied Sciences, 2019 - mdpi.com
In recent years, facial expression analysis and recognition (FER) have emerged as an active
research topic with applications in several different areas, including the human-computer …

Recognition of 3D facial expression dynamics

G Sandbach, S Zafeiriou, M Pantic… - Image and Vision …, 2012 - Elsevier
In this paper we propose a method that exploits 3D motion-based features between frames
of 3D facial geometry sequences for dynamic facial expression recognition. An expressive …

C-face: Continuously reconstructing facial expressions by deep learning contours of the face with ear-mounted miniature cameras

T Chen, B Steeper, K Alsheikh, S Tao… - Proceedings of the 33rd …, 2020 - dl.acm.org
C-Face (Contour-Face) is an ear-mounted wearable sensing technology that uses two
miniature cameras to continuously reconstruct facial expressions by deep learning contours …

Neckface: Continuously tracking full facial expressions on neck-mounted wearables

T Chen, Y Li, S Tao, H Lim, M Sakashita… - Proceedings of the …, 2021 - dl.acm.org
Facial expressions are highly informative for computers to understand and interpret a
person's mental and physical activities. However, continuously tracking facial expressions …

Review of automated emotion-based quantification of facial expression in Parkinson's patients

B Sonawane, P Sharma - The Visual Computer, 2021 - Springer
Among various means of communication, the human face is utmost powerful. Persons
suffering from Parkinson's disease (PD) experience hypomimia which often leads to …