Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
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Dimitrios Hatzinakos | Stefano Berretti | Naoufel Werghi | Munawar Hayat | Bilal Taha | S. Berretti | D. Hatzinakos | Munawar Hayat | N. Werghi | Bilal Taha
[1] Stefanos Zafeiriou,et al. Local normal binary patterns for 3D facial action unit detection , 2012, 2012 19th IEEE International Conference on Image Processing.
[2] Xiaoou Tang,et al. Automatic facial expression recognition on a single 3D face by exploring shape deformation , 2009, ACM Multimedia.
[3] David Zhang,et al. Monogenic Binary Pattern (MBP): A Novel Feature Extraction and Representation Model for Face Recognition , 2010, 2010 20th International Conference on Pattern Recognition.
[4] Wen Gao,et al. Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[5] Xiangyu Zhu,et al. Face Alignment in Full Pose Range: A 3D Total Solution , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Leonidas J. Guibas,et al. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Pierre Vandergheynst,et al. Geodesic Convolutional Neural Networks on Riemannian Manifolds , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[8] Ali Farhadi,et al. You Only Look Once: Unified, Real-Time Object Detection , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Mohammed Bennamoun,et al. A Comprehensive Performance Evaluation of 3D Local Feature Descriptors , 2015, International Journal of Computer Vision.
[10] Karthik Ramani,et al. Deep Learning 3D Shape Surfaces Using Geometry Images , 2016, ECCV.
[11] Hassen Drira,et al. 4-D Facial Expression Recognition by Learning Geometric Deformations , 2014, IEEE Transactions on Cybernetics.
[12] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[13] V. Rovenski,et al. Differential Geometry of Curves and Surfaces: A Concise Guide , 2005 .
[14] Vladimir Pavlovic,et al. Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Ville Ojansivu,et al. Blur Insensitive Texture Classification Using Local Phase Quantization , 2008, ICISP.
[16] Di Huang,et al. Comparison of 2D/3D Features and Their Adaptive Score Level Fusion for 3D Face Recognition , 2010 .
[17] Catalin-Daniel Caleanu. Face expression recognition: A brief overview of the last decade , 2013, 2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI).
[18] Yang Liu,et al. O-CNN , 2017, ACM Trans. Graph..
[19] Jian Sun,et al. Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network , 2017, IEEE Transactions on Multimedia.
[20] Arman Savran,et al. Bosphorus Database for 3D Face Analysis , 2008, BIOID.
[21] P. Ekman. Facial expression and emotion. , 1993, The American psychologist.
[22] Michael G. Strintzis,et al. Bilinear Models for 3-D Face and Facial Expression Recognition , 2008, IEEE Transactions on Information Forensics and Security.
[23] Xing Zhang,et al. Nebula feature: A space-time feature for posed and spontaneous 4D facial behavior analysis , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[24] Stefanos Zafeiriou,et al. Binary Pattern Analysis for 3D Facial Action Unit Detection , 2012, BMVC.
[25] Pierre Vandergheynst,et al. Geometric Deep Learning: Going beyond Euclidean data , 2016, IEEE Signal Process. Mag..
[26] Ling Li,et al. Automatic 4D Facial Expression Recognition Using DCT Features , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[27] Di Huang,et al. Discriminative Attention-based Convolutional Neural Network for 3D Facial Expression Recognition , 2019, 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019).
[28] Liming Chen,et al. 3D facial expression recognition via multiple kernel learning of Multi-Scale Local Normal Patterns , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[29] Arun Ross,et al. Information fusion in biometrics , 2003, Pattern Recognit. Lett..
[30] Liming Chen,et al. Automatic 3D facial expression recognition using geometric scattering representation , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[31] Stefano Berretti,et al. Shape analysis of local facial patches for 3D facial expression recognition , 2011, Pattern Recognit..
[32] Jitendra Malik,et al. Learning Category-Specific Deformable 3D Models for Object Reconstruction , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Josef Kittler,et al. Conformal Mapping of a 3D Face Representation onto a 2D Image for CNN Based Face Recognition , 2018, 2018 International Conference on Biometrics (ICB).
[34] Stefanos Zafeiriou,et al. Recognition of 3D facial expression dynamics , 2012, Image Vis. Comput..
[35] Alberto Del Bimbo,et al. Automatic facial expression recognition in real-time from dynamic sequences of 3D face scans , 2013, The Visual Computer.
[36] Kevin Bailly,et al. Investigating Deep Neural Forests for Facial Expression Recognition , 2018, 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018).
[37] Hae-Jeong Park,et al. Geometric Convolutional Neural Network for Analyzing Surface-Based Neuroimaging Data , 2018, Front. Neuroinform..
[38] Martin D. Levine,et al. Fully automated recognition of spontaneous facial expressions in videos using random forest classifiers , 2014, IEEE Transactions on Affective Computing.
[39] Xi Zhao,et al. An efficient multimodal 2D + 3D feature-based approach to automatic facial expression recognition , 2015, Comput. Vis. Image Underst..
[40] Leonidas J. Guibas,et al. Volumetric and Multi-view CNNs for Object Classification on 3D Data , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Lijun Yin,et al. A high-resolution 3D dynamic facial expression database , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[42] Bernard Mérialdo,et al. Static and dynamic autopsy of deep networks , 2016, 2016 14th International Workshop on Content-Based Multimedia Indexing (CBMI).
[43] Jitendra Malik,et al. Learning Rich Features from RGB-D Images for Object Detection and Segmentation , 2014, ECCV.
[44] Dimitrios Hatzinakos,et al. Emotion Recognition from 2D Facial Expressions , 2019, 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE).
[45] Hassen Drira,et al. Magnifying subtle facial motions for 4D Expression Recognition , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[46] Liming Chen,et al. Muscular Movement Model-Based Automatic 3D/4D Facial Expression Recognition , 2015, IEEE Transactions on Multimedia.
[47] Stefan Carlsson,et al. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[48] Hassen Drira,et al. Magnifying Subtle Facial Motions for Effective 4D Expression Recognition , 2019, IEEE Transactions on Affective Computing.
[49] Ling Guan,et al. A Deformable 3-D Facial Expression Model for Dynamic Human Emotional State Recognition , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[50] Yunhong Wang,et al. Texture and Geometry Scattering Representation-Based Facial Expression Recognition in 2D+3D Videos , 2018, ACM Trans. Multim. Comput. Commun. Appl..
[51] Ioannis A. Kakadiaris,et al. 4D facial expression recognition , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).
[52] Ingmar Posner,et al. Voting for Voting in Online Point Cloud Object Detection , 2015, Robotics: Science and Systems.
[53] Pierre Vandergheynst,et al. Learning class‐specific descriptors for deformable shapes using localized spectral convolutional networks , 2015, SGP '15.
[54] Emmanuel Dellandréa,et al. Automatic 3D Facial Expression Recognition Based on a Bayesian Belief Net and a Statistical Facial Feature Model , 2010, 2010 20th International Conference on Pattern Recognition.
[55] Tieniu Tan,et al. Combining Statistics of Geometrical and Correlative Features for 3D Face Recognition , 2006, BMVC.
[56] Junmo Kim,et al. Deep Temporal Appearance-Geometry Network for Facial Expression Recognition , 2015, ArXiv.
[57] Andrew Y. Ng,et al. Convolutional-Recursive Deep Learning for 3D Object Classification , 2012, NIPS.
[58] Thomas S. Huang,et al. 3D facial expression recognition based on automatically selected features , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[59] Wolfram Burgard,et al. Multimodal deep learning for robust RGB-D object recognition , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[60] Yang Yang,et al. Learning Category-Specific 3D Shape Models from Weakly Labeled 2D Images , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[61] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[62] P. Ekman,et al. Facial action coding system: a technique for the measurement of facial movement , 1978 .