Spontaneous Expression Recognition Based on Visual Attention Mechanism and Co-salient Features

[1]  Arman Savran,et al.  Combining video, audio and lexical indicators of affect in spontaneous conversation via particle filtering , 2012, ICMI '12.

[2]  Louis-Philippe Morency,et al.  Modeling Latent Discriminative Dynamic of Multi-dimensional Affective Signals , 2011, ACII.

[3]  Markus Kächele,et al.  Multiple Classifier Systems for the Classification of Audio-Visual Emotional States , 2011, ACII.

[4]  Cordelia Schmid,et al.  A Comparison of Affine Region Detectors , 2005, International Journal of Computer Vision.

[5]  Fernando De la Torre,et al.  Dynamic Cascades with Bidirectional Bootstrapping for Action Unit Detection in Spontaneous Facial Behavior , 2011, IEEE Transactions on Affective Computing.

[6]  Mohamed Chetouani,et al.  Robust continuous prediction of human emotions using multiscale dynamic cues , 2012, ICMI '12.

[7]  Andrew Zisserman,et al.  An Affine Invariant Salient Region Detector , 2004, ECCV.

[8]  Xiaochun Cao,et al.  Cluster-Based Co-Saliency Detection , 2013, IEEE Transactions on Image Processing.

[9]  R. Haber,et al.  The psychology of visual perception , 1973 .

[10]  Jean Meunier,et al.  Continuous Emotion Recognition Using Gabor Energy Filters , 2011, ACII.

[11]  Harish Katti,et al.  Depth Matters: Influence of Depth Cues on Visual Saliency , 2012, ECCV.

[12]  Su Yi A General Approach for Extracting Affine Invariant Regions , 2008 .

[13]  Jiri Matas,et al.  Robust wide-baseline stereo from maximally stable extremal regions , 2004, Image Vis. Comput..

[14]  Maja Pantic,et al.  A Dynamic Appearance Descriptor Approach to Facial Actions Temporal Modeling , 2014, IEEE Transactions on Cybernetics.