Spontaneous facial micro-expression analysis using spatiotemporal completed local quantized patterns
Spontaneous facial micro-expression analysis has become an active task for recognizing
suppressed and involuntary facial expressions shown on the face of humans. Recently …
suppressed and involuntary facial expressions shown on the face of humans. Recently …
Facial expression recognition based on a mlp neural network using constructive training algorithm
H Boughrara, M Chtourou, C Ben Amar… - Multimedia Tools and …, 2016 - Springer
This paper presents a constructive training algorithm for Multi Layer Perceptron (MLP)
applied to facial expression recognition applications. The developed algorithm is composed …
applied to facial expression recognition applications. The developed algorithm is composed …
Facial expressions classification and false label reduction using LDA and threefold SVM
Abstract Representation and classification of multi-dimensional data are current key
research areas. The representation of data in two classes is more feasible than multi-class …
research areas. The representation of data in two classes is more feasible than multi-class …
Texture and shape information fusion for facial expression and facial action unit recognition
A novel method based on fusion of texture and shape information is proposed for facial
expression and Facial Action Unit (FAU) recognition from video sequences. Regarding facial …
expression and Facial Action Unit (FAU) recognition from video sequences. Regarding facial …
Dynamic facial expression recognition with atlas construction and sparse representation
Y Guo, G Zhao, M Pietikäinen - IEEE Transactions on Image …, 2016 - ieeexplore.ieee.org
In this paper, a new dynamic facial expression recognition method is proposed. Dynamic
facial expression recognition is formulated as a longitudinal groupwise registration problem …
facial expression recognition is formulated as a longitudinal groupwise registration problem …
A game-theoretic framework for landmark-based image segmentation
B Ibragimov, B Likar, F Pernus - IEEE Transactions on …, 2012 - ieeexplore.ieee.org
A novel game-theoretic framework for landmark-based image segmentation is presented.
Landmark detection is formulated as a game, in which landmarks are players, landmark …
Landmark detection is formulated as a game, in which landmarks are players, landmark …
Towards a dynamic expression recognition system under facial occlusion
Facial occlusion is a challenging research topic in facial expression recognition (FER). This
has resulted in the need to develop some interesting facial representations and occlusion …
has resulted in the need to develop some interesting facial representations and occlusion …
Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation
TH Wang, JJJ Lien - Pattern Recognition, 2009 - Elsevier
This study presents a facial expression recognition system which separates the non-rigid
facial expression from the rigid head rotation and estimates the 3D rigid head rotation angle …
facial expression from the rigid head rotation and estimates the 3D rigid head rotation angle …
3D human face description: landmarks measures and geometrical features
E Vezzetti, F Marcolin - Image and Vision Computing, 2012 - Elsevier
Distance measures and geometrical features are widely used to describe faces. Generally,
they are extracted punctually from landmarks, namely anthropometric reference points. The …
they are extracted punctually from landmarks, namely anthropometric reference points. The …
Pose and expression independent facial landmark localization using dense-SURF and the Hausdorff distance
E Sangineto - IEEE transactions on pattern analysis and …, 2012 - ieeexplore.ieee.org
We present an approach to automatic localization of facial feature points which deals with
pose, expression, and identity variations combining 3D shape models with local image …
pose, expression, and identity variations combining 3D shape models with local image …