Elsevier Journal of Computer Vision and Image Understanding (CVIU)
Special Issue on Facial Behaviour Analysis

Website: http://www.journals.elsevier.com/computer-vision-and-image-understanding/call-for-papers/special-issue-on-facial-behaviour-analysis/


Face is not only used for the recognition of a person, but also for communicating emotions and intentions and for interactions regulation with the environment and other persons in vicinity. It has been estimated that the facial non-verbal behaviour of a speaker, manifested by expressions, contributes more than half to the effect of the spoken message, which is more than the verbal part and the vocal part combined. Hence, facial expressions have a key role in verbal and non-verbal communication. Furthermore, according to Psychological studies important cues for certain behaviours, such as deception and stress, are micro-expressions, since they often represent leakage to behaviour control. Micro-expressions, which are defined as very rapid and subtle involuntary facial expressions, occur when an emotion is of lower intensity, and are much more difficult to read and fake. Changing facial expressions is not only a natural and powerful way of conveying personal intention, expressing emotion and regulating interpersonal communication, but also an important cue of personality. Thus, automatic recognition of expressions and estimation of their intensity is an important step in enhancing the capability of human-machine/robot interfaces. In this special issue, we focus on all aspects regarding the analysis of naturally occurring spontaneous facial behaviour, including theoretical foundations of spontaneous facial behaviour modeling and analysis, novel algorithms and systems, database collections and benchmarking efforts.

Topics include but are not limited to:

• Recognition of spontaneous facial behaviour.   
• Facial parts in spontaneous expressions.
• Differences between spontaneous and posed expressions in 2D/3D/4D.   
• Facial behaviour analysis for automatic pain detection.
• Analysis, recognition and detection of micro-expressions in 2D/3D/4D.   
• Facial behaviour for automatic analysis of depression.
• Analysis of facial behaviour in long term videos.   
• Facial behaviour analysis for automatic deception detection.
• Unsupervised analysis and clustering of spontaneous facial behaviour.   
• Analysis of spontaneous facial action units  in 2D/3D/4D.
• Continuous and dynamic facial behaviour analysis.   
• Tracking of facial behaviour.
• Facial behaviour analysis for analysis of personality.   


Manuscripts to be submitted must not have appeared or be under review elsewhere. Full papers that follow the CVIU guidelines could be submitted at http://ees.elsevier.com/cviu. Please make sure to select “SI: SFBA” as the Article Type.

Submission deadline: Friday March 27th 2015
First Review: June 2015
Notification of acceptance: Friday Oct 23th 2015
Final manuscript due: Friday Nov 27nd 2015
Tentative publication date: January 2016

Guest Editors:
Dr. Stefanos Zafeiriou, Lecturer Imperial College London, London, UK
Guoying Zhao, Associate Prof. University of Oulu, Finland
Dr. Irene Kotsia, Lecturer Middlesex University, UK
Matti Pietikainen, Professor University of Oulu, Oulu, Finland
Jeffrey Cohn, Professor University of Pittsburgh and CMU, USA
Rama Chellappa, Professor University of Maryland, USA