Action Unit Detection by Learning the Deformation Coefficients of a 3D Morphable Model
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Alberto Del Bimbo | Stefano Berretti | Claudio Ferrari | Luigi Ariano | S. Berretti | A. Bimbo | C. Ferrari | L. Ariano
[1] Alberto Del Bimbo,et al. Dictionary Learning Based 3D Morphable Model Construction for Face Recognition with Varying Expression and Pose , 2015, 2015 International Conference on 3D Vision.
[2] Michael J. Black,et al. Learning a model of facial shape and expression from 4D scans , 2017, ACM Trans. Graph..
[3] Yaser Sheikh,et al. Modeling Facial Geometry Using Compositional VAEs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[4] Michael G. Strintzis,et al. Bilinear Models for 3-D Face and Facial Expression Recognition , 2008, IEEE Transactions on Information Forensics and Security.
[5] Matti Pietikäinen,et al. CS-3DLBP and geometry based person independent 3D facial action unit detection , 2013, 2013 International Conference on Biometrics (ICB).
[6] Chen Chen,et al. Dense Semantic and Topological Correspondence of 3D Faces without Landmarks , 2018, ECCV.
[7] 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.
[8] Liming Chen,et al. Muscular Movement Model-Based Automatic 3D/4D Facial Expression Recognition , 2015, IEEE Transactions on Multimedia.
[9] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[10] Lijun Yin,et al. Static and dynamic 3D facial expression recognition: A comprehensive survey , 2012, Image Vis. Comput..
[11] Feng Liu,et al. 3D Face Modeling From Diverse Raw Scan Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[12] Dimitrios Hatzinakos,et al. Emotion Recognition from 2D Facial Expressions , 2019, 2019 IEEE Canadian Conference of Electrical and Computer Engineering (CCECE).
[13] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[14] Alberto Del Bimbo,et al. A Dictionary Learning-Based 3D Morphable Shape Model , 2017, IEEE Transactions on Multimedia.
[15] C. Qi. Deep Learning on Point Sets for 3 D Classification and Segmentation , 2016 .
[16] Juyong Zhang,et al. Disentangled Representation Learning for 3D Face Shape , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[18] Tieniu Tan,et al. Combining Statistics of Geometrical and Correlative Features for 3D Face Recognition , 2006, BMVC.
[19] Alberto Del Bimbo,et al. A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[20] Carlos D. Castillo,et al. SfSNet: Learning Shape, Reflectance and Illuminance of Faces 'in the Wild' , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[21] Sami Romdhani,et al. A 3D Face Model for Pose and Illumination Invariant Face Recognition , 2009, 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance.
[22] Jian Sun,et al. Multimodal 2D+3D Facial Expression Recognition With Deep Fusion Convolutional Neural Network , 2017, IEEE Transactions on Multimedia.
[23] Syed Zulqarnain Gilani,et al. Dense 3D Face Correspondence , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[24] Patrick J. Flynn,et al. Overview of the face recognition grand challenge , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[25] Marcus A. Magnor,et al. Sparse localized deformation components , 2013, ACM Trans. Graph..
[26] Dimitrios Hatzinakos,et al. Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[27] BerrettiStefano,et al. Representation, Analysis, and Recognition of 3D Humans , 2018 .
[28] P. Ekman,et al. Facial action coding system: a technique for the measurement of facial movement , 1978 .
[29] Alan Brunton,et al. Multilinear Wavelets: A Statistical Shape Space for Human Faces , 2014, ECCV.
[30] Stefanos Zafeiriou,et al. Binary Pattern Analysis for 3D Facial Action Unit Detection , 2012, BMVC.
[31] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[32] Thomas Gerig,et al. Gaussian Process Morphable Models , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] 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).
[34] Xiaoou Tang,et al. Automatic facial expression recognition on a single 3D face by exploring shape deformation , 2009, ACM Multimedia.
[35] Alberto Del Bimbo,et al. Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients , 2018, ECCV Workshops.
[36] Shaun J. Canavan,et al. Facial Action Unit Detection using 3D Facial Landmarks , 2020, ArXiv.
[37] Stefanos Zafeiriou,et al. Local normal binary patterns for 3D facial action unit detection , 2012, 2012 19th IEEE International Conference on Image Processing.
[38] Jun Wang,et al. A 3D facial expression database for facial behavior research , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[39] 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).
[40] Yiying Tong,et al. FaceWarehouse: A 3D Facial Expression Database for Visual Computing , 2014, IEEE Transactions on Visualization and Computer Graphics.