Matrix analysis
Recognizing Facial Expressions in Image Sequences Using Local Parameterized Models of Image Motion
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
FG '98 Proceedings of the 3rd. International Conference on Face & Gesture Recognition
Facial Expression Space Learning
PG '02 Proceedings of the 10th Pacific Conference on Computer Graphics and Applications
Cluster-preserving Embedding of Proteins
Cluster-preserving Embedding of Proteins
Nonlinear Mapping of Multi-View Face Patterns to a Gaussian Distribution in a Low Dimensional Space
RATFG-RTS '01 Proceedings of the IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems (RATFG-RTS'01)
Face Recognition Using Laplacianfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using spectral features
Pattern Recognition
Distributing expressional faces in 2-D emotional space
Proceedings of the 6th ACM international conference on Image and video retrieval
Locally linear discriminant embedding: An efficient method for face recognition
Pattern Recognition
Facial Expression Analysis on Semantic Neighborhood Preserving Embedding
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
IEICE - Transactions on Information and Systems
Enhanced supervised locally linear embedding
Pattern Recognition Letters
Efficient face recognition using tensor subspace regression
Neurocomputing
LPP solution schemes for use with face recognition
Pattern Recognition
Facial expression recognition on multiple manifolds
Pattern Recognition
BoostMap: a method for efficient approximate similarity rankings
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Probabilistic expression analysis on manifolds
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Dynamic soft encoded patterns for facial event analysis
Computer Vision and Image Understanding
Appearance manifold of facial expression
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
Orthogonal discriminant vector for face recognition across pose
Pattern Recognition
Tensor rank one differential graph preserving analysis for facial expression recognition
Image and Vision Computing
Proceedings of the 14th ACM international conference on Multimodal interaction
Enhancing expression recognition in the wild with unlabeled reference data
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A review of motion analysis methods for human Nonverbal Communication Computing
Image and Vision Computing
Computer Vision and Image Understanding
Linear subspaces for facial expression recognition
Image Communication
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In this paper, we propose the concept of Manifold ofFacial Expression based on the observation that imagesof a subject's facial expressions define a smooth manifoldin the high dimensional image space. Such a manifoldrepresentation can provide a unified framework for facialexpression analysis. We first apply Active WaveletNetworks (AWN) on the image sequences for facialfeature localization. To learn the structure of the manifoldin the feature space derived by AWN, we investigated twotypes of embeddings from a high dimensional space to alow dimensional space: locally linear embedding (LLE)and Lipschitz embedding. Our experiments show that LLEis suitable for visualizing expression manifolds. Afterapplying Lipschitz embedding, the expression manifoldcan be approximately considered as a super-sphericalsurface in the embedding space. For manifolds derivedfrom different subjects, we propose a nonlinear alignmentalgorithm that keeps the semantic similarity of facialexpression from different subjects on one generalizedmanifold. We also show that nonlinear alignmentoutperforms linear alignment in expression classification.