Example-Based Learning for View-Based Human Face Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
A morphable model for the synthesis of 3D faces
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Triangle: Engineering a 2D Quality Mesh Generator and Delaunay Triangulator
FCRC '96/WACG '96 Selected papers from the Workshop on Applied Computational Geormetry, Towards Geometric Engineering
Gaze-X: adaptive affective multimodal interface for single-user office scenarios
Proceedings of the 8th international conference on Multimodal interfaces
A Unified Gradient-Based Approach for Combining ASM into AAM
International Journal of Computer Vision
Affective multimodal mirror: sensing and eliciting laughter
Proceedings of the international workshop on Human-centered multimedia
CompSysTech '07 Proceedings of the 2007 international conference on Computer systems and technologies
Transcranial Doppler: A Tool for Augmented Cognition in Virtual Environments
FAC '09 Proceedings of the 5th International Conference on Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience: Held as Part of HCI International 2009
Gaze-X: adaptive, affective, multimodal interface for single-user office scenarios
ICMI'06/IJCAI'07 Proceedings of the ICMI 2006 and IJCAI 2007 international conference on Artifical intelligence for human computing
A unified approach for combining ASM into AAM
PSIVT'06 Proceedings of the First Pacific Rim conference on Advances in Image and Video Technology
UX_Mate: from facial expressions to UX evaluation
Proceedings of the Designing Interactive Systems Conference
ITS'12 Proceedings of the 11th international conference on Intelligent Tutoring Systems
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Automatic facial expression recognition is a research topic with interesting applications in the field of human-computer interaction, psychology and product marketing. The classification accuracy for an automatic system which uses static images as input is however largely limited by the image quality, lighting conditions and the orientation of the depicted face. These problems can be partially overcome by using a holistic model based approach called the Active Appearance Model. A system will be described that can classify expressions from one of the emotional categories joy, anger, sadness, surprise, fear and disgust with remarkable accuracy. It is also able to detect smaller, local facial features based on minimal muscular movements described by the Facial Action Coding System (FACS). Finally, we show how the system can be used for expression analysis and synthesis.