FC 2017 Workshop on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation:


Recently, lots of theoretical approaches have been developed in the field of computer vision and machine learning which address the analysis and understanding of human emotions. Such study and research are playing an important role for applications which involve human-robot or human-computer interaction, security, and identification tasks. 

The above topics fall, mainly, under the categories related to computer vision and machine learning, where the theoretical advancements and practical developments usually benefit from the contributions brought by other areas of research in the relevant domains of science and technology, which is due to the multidisciplinary nature of the task. This workshop focuses on the applications of the visual analysis of human emotion, which is intended to encourage the initiation and development of innovative solutions pertinent to the subject, where seemingly unrelated concepts indirectly helping enhance the pace and quality of the progress in the context of the main topic will be considered for possible publication as well. Original research and review articles are welcome. Potential topics of research include, but are not limited to: 

•    2D and 3D human face recognition and identification 
•    Emotion recognition 
•    Emotion induction 
•    Personality analysis 
•    2D and 3D gesture recognition 
•    Human-computer interaction 
•    Multi-modal visual analysis of human behavior 
•    Head-pose estimation
•    Physiological signals and their effect on emotion

Please submit your papers to  https://cmt3.research.microsoft.com/DCEHP2017


Full-day workshop (preliminary schedule)