Automatic Classification of Single Facial Images
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
Face Recognition Using Foveal Vision
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
Comprehensive Database for Facial Expression Analysis
FG '00 Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition 2000
Robust Real-Time Face Detection
International Journal of Computer Vision
Pose Invariant Affect Analysis using Thin-Plate Splines
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A 3D Facial Expression Database For Facial Behavior Research
FGR '06 Proceedings of the 7th International Conference on Automatic Face and Gesture Recognition
3D Facial Expression Recognition Based on Primitive Surface Feature Distribution
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Optimal Pose for Face Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Dynamics of facial expression extracted automatically from video
Image and Vision Computing
Image and Vision Computing
Pose-invariant facial expression recognition using variable-intensity templates
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Multi-scale local binary pattern histograms for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Learning multi-scale block local binary patterns for face recognition
ICB'07 Proceedings of the 2007 international conference on Advances in Biometrics
Automatic facial expression recognition using statistical-like moments
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing: Part I
Facial expression recognition using tracked facial actions: Classifier performance analysis
Engineering Applications of Artificial Intelligence
Multi-view facial expression recognition analysis with generic sparse coding feature
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Facial expression recognition using a new image representation and multiple feature fusion
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
A comparative study of color texture features for face analysis
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
Framework for reliable, real-time facial expression recognition for low resolution images
Pattern Recognition Letters
Human nonverbal behavior multi-sourced ontological annotation
Proceedings of the International Workshop on Video and Image Ground Truth in Computer Vision Applications
Robust facial expression recognition in the presence of rotation and partial occlusion
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Pose invariant face recognition using biological inspired features based on ensemble of classifiers
Journal of Visual Communication and Image Representation
Emotion recognition from geometric facial features using self-organizing map
Pattern Recognition
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Research into facial expression recognition has predominantly been applied to face images at frontal view only. Some attempts have been made to produce pose invariant facial expression classifiers. However, most of these attempts have only considered yaw variations of up to 45^o, where all of the face is visible. Little work has been carried out to investigate the intrinsic potential of different poses for facial expression recognition. This is largely due to the databases available, which typically capture frontal view face images only. Recent databases, BU3DFE and multi-pie, allows empirical investigation of facial expression recognition for different viewing angles. A sequential 2 stage approach is taken for pose classification and view dependent facial expression classification to investigate the effects of yaw variations from frontal to profile views. Local binary patterns (LBPs) and variations of LBPs as texture descriptors are investigated. Such features allow investigation of the influence of orientation and multi-resolution analysis for multi-view facial expression recognition. The influence of pose on different facial expressions is investigated. Others factors are investigated including resolution and construction of global and local feature vectors. An appearance based approach is adopted by dividing images into sub-blocks coarsely aligned over the face. Feature vectors contain concatenated feature histograms built from each sub-block. Multi-class support vector machines are adopted to learn pose and pose dependent facial expression classifiers.