Spatiotemporal features selection for spontaneous micro-expression recognition

[1]  Matti Pietikäinen,et al.  Discriminative Spatiotemporal Local Binary Pattern with Revisited Integral Projection for Spontaneous Facial Micro-Expression Recognition , 2019, IEEE Transactions on Affective Computing.

[2]  Ayyaz Hussain,et al.  Illumination invariant facial expression recognition using selected merged binary patterns for real world images , 2018 .

[3]  Matti Pietikäinen,et al.  Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods , 2015, IEEE Transactions on Affective Computing.

[4]  Feng Xu,et al.  Microexpression Identification and Categorization Using a Facial Dynamics Map , 2017, IEEE Transactions on Affective Computing.

[5]  Muhammad Sajjad,et al.  Facial expression recognition using weber discrete wavelet transform , 2017, J. Intell. Fuzzy Syst..

[6]  John See,et al.  Effective recognition of facial micro-expressions with video motion magnification , 2016, Multimedia Tools and Applications.

[7]  Guoying Zhao,et al.  A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition , 2016, IEEE Transactions on Affective Computing.

[8]  Yong Man Ro,et al.  Micro-Expression Recognition with Expression-State Constrained Spatio-Temporal Feature Representations , 2016, ACM Multimedia.

[9]  KokSheik Wong,et al.  Spontaneous Subtle Expression Detection and Recognition based on Facial Strain , 2016, Signal Process. Image Commun..

[10]  Rui Yan,et al.  Micro-expression recognition system , 2016 .

[11]  Matti Pietikäinen,et al.  Spontaneous facial micro-expression analysis using Spatiotemporal Completed Local Quantized Patterns , 2016, Neurocomputing.

[12]  Jun-Hai Zhai,et al.  Ensemble of multiresolution probabilistic neural network classifiers with fuzzy integral for face recognition , 2016, J. Intell. Fuzzy Syst..

[13]  Ayyaz Hussain,et al.  Reliable facial expression recognition for multi-scale images using weber local binary image based cosine transform features , 2017, Multimedia Tools and Applications.

[14]  Matti Pietikäinen,et al.  Facial Micro-Expression Recognition Using Spatiotemporal Local Binary Pattern with Integral Projection , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).

[15]  Guoying Zhao,et al.  Micro-Expression Recognition Using Color Spaces , 2015, IEEE Transactions on Image Processing.

[16]  John See,et al.  Efficient Spatio-Temporal Local Binary Patterns for Spontaneous Facial Micro-Expression Recognition , 2015, PloS one.

[17]  Guoying Zhao,et al.  Micro-Expression Recognition Using Robust Principal Component Analysis and Local Spatiotemporal Directional Features , 2014, ECCV Workshops.

[18]  Guoying Zhao,et al.  CASME II: An Improved Spontaneous Micro-Expression Database and the Baseline Evaluation , 2014, PloS one.

[19]  Oksam Chae,et al.  Local Directional Number Pattern for Face Analysis: Face and Expression Recognition , 2013, IEEE Transactions on Image Processing.

[20]  Qi Wu,et al.  CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[21]  Matti Pietikäinen,et al.  A Spontaneous Micro-expression Database: Inducement, collection and baseline , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).

[22]  Yuichi Ohta,et al.  Facial Micro-Expression Detection in Hi-Speed Video Based on Facial Action Coding System (FACS) , 2013, IEICE Trans. Inf. Syst..

[23]  Frédo Durand,et al.  Eulerian video magnification for revealing subtle changes in the world , 2012, ACM Trans. Graph..

[24]  Matti Pietikäinen,et al.  Recognising spontaneous facial micro-expressions , 2011, 2011 International Conference on Computer Vision.

[25]  Dmitry B. Goldgof,et al.  Macro- and micro-expression spotting in long videos using spatio-temporal strain , 2011, Face and Gesture 2011.

[26]  Oksam Chae,et al.  Local Directional Pattern (LDP) for face recognition , 2010, 2010 Digest of Technical Papers International Conference on Consumer Electronics (ICCE).

[27]  Andrew Zisserman,et al.  Representing shape with a spatial pyramid kernel , 2007, CIVR '07.

[28]  Matti Pietikäinen,et al.  Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.