A Multilinear Singular Value Decomposition
SIAM Journal on Matrix Analysis and Applications
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Multilinear Analysis of Image Ensembles: TensorFaces
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Facial Expression Decomposition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Facial asymmetry quantification for expression invariant human identification
Computer Vision and Image Understanding - Special issue on Face recognition
Active Appearance Models Revisited
International Journal of Computer Vision
Appearance Factorization based Facial Expression Recognition and Synthesis
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
Generalized Discriminant Analysis Using a Kernel Approach
Neural Computation
Facial expressional image synthesis controlled by emotional parameters
Pattern Recognition Letters
Expression-Invariant Face Recognition with Expression Classification
CRV '06 Proceedings of the The 3rd Canadian Conference on Computer and Robot Vision
A Real-Time Facial Expression Recognition using the STAAM
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
Illumination-robust face recognition using ridge regressive bilinear models
Pattern Recognition Letters
Journal of Cognitive Neuroscience
Expression-invariant 3D face recognition
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Facial expression transformations for expression-invariant face recognition
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
On bending invariant signatures for surfaces
IEEE Transactions on Pattern Analysis and Machine Intelligence
A review of active appearance models
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Face recognition system invariant to light-camera setup
PerMIn'12 Proceedings of the First Indo-Japan conference on Perception and Machine Intelligence
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In this paper, we present a method of expression-invariant face recognition that transforms input face image with an arbitrary expression into its corresponding neutral facial expression image. When a new face image with an arbitrary expression is queried, it is represented by a feature vector using the active appearance model (AAM). Then, the facial expression state of the queried feature vector is identified by the facial expression recognizer. Next, the queried feature vector is transformed into the facial expression vector using the identified expression state via direct or indirect facial expression transformation, where former uses model translation directly to transform the expression, but the latter uses model translation to obtain relative expression parameters: shape difference and appearance ratio and transforms the expression indirectly by the obtained relative expression parameters. Then, the face recognition is performed by the distance-based matching technique, which matches the transformed neutral expression feature vector with the vectors in the gallery, which have only neutral expression. Experimental results show that the proposed expression-invariant face recognition method is very robust for a variety of expressions.