Automatic Analysis of Facial Expressions: The State of the Art
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Facial expression recognition from video sequences: temporal and static modeling
Computer Vision and Image Understanding - Special issue on Face recognition
Computing Large Deformation Metric Mappings via Geodesic Flows of Diffeomorphisms
International Journal of Computer Vision
Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition based on Local Binary Patterns: A comprehensive study
Image and Vision Computing
Population Shape Regression from Random Design Data
International Journal of Computer Vision
From facial expression to level of interest: a spatio-temporal approach
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A Dynamic Texture-Based Approach to Recognition of Facial Actions and Their Temporal Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Facial expression recognition from near-infrared videos
Image and Vision Computing
Automatic facial expression recognition using facial animation parameters and multistream HMMs
IEEE Transactions on Information Forensics and Security
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In this paper, we propose a new scheme to formulate the dynamic facial expression recognition problem as a longitudinal atlases construction and deformable groupwise image registration problem. The main contributions of this method include: 1) We model human facial feature changes during the facial expression process by a diffeomorphic image registration framework; 2) The subject-specific longitudinal change information of each facial expression is captured by building an expression growth model; 3) Longitudinal atlases of each facial expression are constructed by performing groupwise registration among all the corresponding expression image sequences of different subjects. The constructed atlases can reflect overall facial feature changes of each expression among the population, and can suppress the bias due to inter-personal variations. The proposed method was extensively evaluated on the Cohn-Kanade, MMI, and Oulu-CASIA VIS dynamic facial expression databases and was compared with several state-of-the-art facial expression recognition approaches. Experimental results demonstrate that our method consistently achieves the highest recognition accuracies among other methods under comparison on all the databases.