A Sparse and Locally Coherent Morphable Face Model for Dense Semantic Correspondence Across Heterogeneous 3D Faces
暂无分享,去创建一个
Alberto Del Bimbo | Stefano Berretti | Pietro Pala | Claudio Ferrari | S. Berretti | A. Bimbo | P. Pala | C. Ferrari
[1] W. Marsden. I and J , 2012 .
[2] H. Zou,et al. Regularization and variable selection via the elastic net , 2005 .
[3] Syed Zulqarnain Gilani,et al. Dense 3D Face Correspondence , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Fang Zhao,et al. Dual-Agent GANs for Photorealistic and Identity Preserving Profile Face Synthesis , 2017, NIPS.
[5] Alan Brunton,et al. Review of statistical shape spaces for 3D data with comparative analysis for human faces , 2012, Comput. Vis. Image Underst..
[6] Guodong Guo,et al. Joint Face Image Restoration and Frontalization for Recognition , 2021, IEEE Transactions on Circuits and Systems for Video Technology.
[7] Shuicheng Yan,et al. Recognizing Profile Faces by Imagining Frontal View , 2019, International Journal of Computer Vision.
[8] Arman Savran,et al. Bosphorus Database for 3D Face Analysis , 2008, BIOID.
[9] I. Reid,et al. Dense 3 D Face Correspondence , 2019 .
[10] Jun Wang,et al. A 3D facial expression database for facial behavior research , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[11] Michael J. Black,et al. Learning a model of facial shape and expression from 4D scans , 2017, ACM Trans. Graph..
[12] Yaser Sheikh,et al. Modeling Facial Geometry Using Compositional VAEs , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Alberto Del Bimbo,et al. Coarse-to-Fine 3D Face Reconstruction , 2019, CVPR Workshops.
[14] Hao Li,et al. Global Correspondence Optimization for Non‐Rigid Registration of Depth Scans , 2008, Comput. Graph. Forum.
[15] Andriy Myronenko,et al. Point Set Registration: Coherent Point Drift , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Sami Romdhani,et al. Optimal Step Nonrigid ICP Algorithms for Surface Registration , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Christopher J. Taylor,et al. Statistical models of shape - optimisation and evaluation , 2008 .
[18] Thomas Vetter,et al. Expression invariant 3D face recognition with a Morphable Model , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.
[19] Flavio Prieto,et al. Fully automatic expression-invariant face correspondence , 2013, Machine Vision and Applications.
[20] Ajmal S. Mian,et al. Shape-based automatic detection of a large number of 3D facial landmarks , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Yang Zhao,et al. 3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild , 2019 .
[22] Stefanos Zafeiriou,et al. Combining 3D Morphable Models: A Large Scale Face-And-Head Model , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Huijun Gao,et al. Recent developments and trends in point set registration methods , 2017, J. Vis. Commun. Image Represent..
[24] Jiaolong Yang,et al. Go-ICP: Solving 3D Registration Efficiently and Globally Optimally , 2013, 2013 IEEE International Conference on Computer Vision.
[25] Nikos Paragios,et al. Higher-Order Graph Principles towards Non-Rigid Surface Registration , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Ioannis A. Kakadiaris,et al. Feature fusion for facial landmark detection , 2014, Pattern Recognit..
[27] Xiaobo Zhang,et al. Establishing Point Correspondence of 3D Faces Via Sparse Facial Deformable Model , 2013, IEEE Transactions on Image Processing.
[28] Yiying Tong,et al. FaceWarehouse: A 3D Facial Expression Database for Visual Computing , 2014, IEEE Transactions on Visualization and Computer Graphics.
[29] Stefanos Zafeiriou,et al. Towards a Complete 3D Morphable Model of the Human Head , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[30] Alberto Del Bimbo,et al. A Dictionary Learning-Based 3D Morphable Shape Model , 2017, IEEE Transactions on Multimedia.
[31] Thabo Beeler,et al. 3D Morphable Face Models—Past, Present, and Future , 2020, ACM Trans. Graph..
[32] Chen Chen,et al. Dense Semantic and Topological Correspondence of 3D Faces without Landmarks , 2018, ECCV.
[33] William J. Christmas,et al. Gaussian mixture 3D morphable face model , 2018, Pattern Recognit..
[34] Thomas Gerig,et al. Gaussian Process Morphable Models , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[35] 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).
[36] Ioannis A. Kakadiaris,et al. 3D Facial Landmark Detection under Large Yaw and Expression Variations , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[37] Juyong Zhang,et al. Disentangled Representation Learning for 3D Face Shape , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[38] George Trigeorgis,et al. 3D Face Morphable Models "In-the-Wild" , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[39] Alberto Del Bimbo,et al. 3D Face Recognition Using Isogeodesic Stripes , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Marcus A. Magnor,et al. Sparse localized deformation components , 2013, ACM Trans. Graph..
[41] Alberto Del Bimbo,et al. Pose Independent Face Recognition by Localizing Local Binary Patterns via Deformation Components , 2014, 2014 22nd International Conference on Pattern Recognition.
[42] Alberto Del Bimbo,et al. Effective 3D based frontalization for unconstrained face recognition , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[43] Xiaoming Liu,et al. Nonlinear 3D Face Morphable Model , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Fang Zhao,et al. Towards Pose Invariant Face Recognition in the Wild , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[45] William Smith,et al. A 3D Morphable Model of Craniofacial Shape and Texture Variation , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[46] Rajat Raina,et al. Efficient sparse coding algorithms , 2006, NIPS.
[47] Matthew Turk,et al. A Morphable Model For The Synthesis Of 3D Faces , 1999, SIGGRAPH.
[48] Jim Austin,et al. A Machine-Learning Approach to Keypoint Detection and Landmarking on 3D Meshes , 2012, International Journal of Computer Vision.
[49] Anil K. Jain,et al. Automatic feature extraction for multiview 3D face recognition , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[50] Alberto Del Bimbo,et al. 3DMM for Accurate Reconstruction of Depth Data , 2019, ICIAP.
[51] Alberto Del Bimbo,et al. Deep 3D morphable model refinement via progressive growing of conditional Generative Adversarial Networks , 2019, Comput. Vis. Image Underst..
[52] Jiaolong Yang,et al. Go-ICP: A Globally Optimal Solution to 3D ICP Point-Set Registration , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[53] 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.
[54] Shuicheng Yan,et al. 3D-Aided Dual-Agent GANs for Unconstrained Face Recognition , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Ajmal S. Mian,et al. Deep, dense and accurate 3D face correspondence for generating population specific deformable models , 2017, Pattern Recognit..
[56] Tal Hassner,et al. Extreme 3D Face Reconstruction: Seeing Through Occlusions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[57] Subramanian Ramanathan,et al. Human Facial Expression Recognition using a 3D Morphable Model , 2006, 2006 International Conference on Image Processing.
[58] Silong Peng,et al. Boosting Local Shape Matching for Dense 3D Face Correspondence , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Thomas Vetter,et al. Face Recognition Based on Fitting a 3D Morphable Model , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[60] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[61] Stefanos Zafeiriou,et al. Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[62] Mongi A. Abidi,et al. Surface matching by 3D point's fingerprint , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[63] Stefanos Zafeiriou,et al. GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Guillermo Sapiro,et al. Online Learning for Matrix Factorization and Sparse Coding , 2009, J. Mach. Learn. Res..
[65] Michael J. Black,et al. Generating 3D faces using Convolutional Mesh Autoencoders , 2018, ECCV.
[66] Jiashi Feng,et al. Joint 3D Face Reconstruction and Dense Face Alignment from A Single Image with 2D-Assisted Self-Supervised Learning , 2019, ArXiv.
[67] Alberto Del Bimbo,et al. Inner Eye Canthus Localization for Human Body Temperature Screening , 2020, 2020 25th International Conference on Pattern Recognition (ICPR).
[68] Alan Brunton,et al. Multilinear Wavelets: A Statistical Shape Space for Human Faces , 2014, ECCV.
[69] Feng Liu,et al. 3D Face Modeling From Diverse Raw Scan Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[70] A. Ponniah,et al. Large Scale 3D Morphable Models , 2017, International Journal of Computer Vision.
[71] Stefanos Zafeiriou,et al. A 3D Morphable Model Learnt from 10,000 Faces , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[72] 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).
[73] Kevin Barraclough,et al. I and i , 2001, BMJ : British Medical Journal.
[74] Yu Cheng,et al. 3D-Aided Deep Pose-Invariant Face Recognition , 2018, IJCAI.
[75] Gary K. L. Tam,et al. Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Nonrigid , 2013, IEEE Transactions on Visualization and Computer Graphics.
[76] Nikos Paragios,et al. Dense non-rigid surface registration using high-order graph matching , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[77] Xin Chen,et al. Sparse Photometric 3D Face Reconstruction Guided by Morphable Models , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[78] Paul F. Whelan,et al. 3-D Facial Landmark Localization With Asymmetry Patterns and Shape Regression from Incomplete Local Features , 2015, IEEE Transactions on Cybernetics.
[79] 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.
[80] 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.
[81] Maurício Pamplona Segundo,et al. Automatic Face Segmentation and Facial Landmark Detection in Range Images , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[82] Alberto Del Bimbo,et al. Rendering Realistic Subject-Dependent Expression Images by Learning 3DMM Deformation Coefficients , 2018, ECCV Workshops.
[83] Stefanos Zafeiriou,et al. Large Scale 3D Morphable Models , 2017, International Journal of Computer Vision.