Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications
Universitat Autònoma de Barcelona · Barcelona Graduate School of Mathematics · +3 more institutions
Abstract
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 been an intense field of study in recent years. Interpreting such expressions remains challenging and much research is needed about the way they relate to human affect. This paper presents a general overview of automatic RGB, 3D, thermal and multimodal facial expression analysis. We define a new taxonomy for the field, encompassing all steps from face detection to facial expression recognition, and describe and classify the state of the art methods accordingly. We also present the important datasets and the bench-marking of most…
Citation impact
- FWCI
- 63.56
- Percentile
- 100%
- References
- 302
Authors
4- CCCiprian CorneanuCorresponding
Universitat Autònoma de Barcelona, Barcelona Graduate School of Mathematics, Universitat de Barcelona
- MOMarc Oliu Simón
Universitat Autònoma de Barcelona, Barcelona Graduate School of Mathematics, Universitat de Barcelona
- JFJeffrey F. Cohn
University of Pittsburgh, Carnegie Mellon University
- SESérgio Escalera
Universitat Autònoma de Barcelona, Barcelona Graduate School of Mathematics, Universitat de Barcelona
Topics & keywords
- Facial expression
- Computer science
- Artificial intelligence
- Facial expression recognition
- Expression (computer science)
- Affect (linguistics)
- Facial recognition system
- Affective computing