Super-resolution for Selfie Biometrics: Introduction and Application to Face and Iris
暂无分享,去创建一个
[1] Michael Unser,et al. Image interpolation and resampling , 2000 .
[2] Patrick J. Flynn,et al. Iris Recognition Using Signal-Level Fusion of Frames From Video , 2009, IEEE Transactions on Information Forensics and Security.
[3] Xiaogang Wang,et al. Hallucinating face by eigentransformation , 2005, IEEE Trans. Syst. Man Cybern. Part C.
[4] Yung-Hui Li,et al. Extending the Capture Volume of an Iris Recognition System Using Wavefront Coding and Super-Resolution , 2016, IEEE Transactions on Cybernetics.
[5] Michal Irani,et al. Super resolution from image sequences , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[6] Peter Cheeseman,et al. Super-Resolved Surface Reconstruction from Multiple Images , 1996 .
[7] Kin-Man Lam,et al. Face hallucination based on sparse local-pixel structure , 2014, Pattern Recognit..
[8] Sridha Sridharan,et al. Feature-domain super-resolution for iris recognition , 2011, 2011 18th IEEE International Conference on Image Processing.
[9] Libor Masek,et al. Recognition of Human Iris Patterns for Biometric Identification , 2003 .
[10] Klamer Schutte,et al. Robust Fusion of Irregularly Sampled Data Using Adaptive Normalized Convolution , 2006, EURASIP J. Adv. Signal Process..
[11] Haiqing Li,et al. Image Super-Resolution for Mobile Iris Recognition , 2016, CCBR.
[12] Sridha Sridharan,et al. Super-resolution for biometrics: A comprehensive survey , 2018, Pattern Recognit..
[13] Michael Elad,et al. Fast and robust multiframe super resolution , 2004, IEEE Transactions on Image Processing.
[14] Julian Fiérrez,et al. Quality Measures in Biometric Systems , 2012, IEEE Security & Privacy.
[15] Philip J. Willis,et al. Image Interpolation by Pixel‐Level Data‐Dependent Triangulation , 2004, Comput. Graph. Forum.
[16] Kyoung Mu Lee,et al. Accurate Image Super-Resolution Using Very Deep Convolutional Networks , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Fernando Alonso-Fernandez,et al. Quality factors affecting iris segmentation and matching , 2013, 2013 International Conference on Biometrics (ICB).
[18] Robert L. Stevenson,et al. Extraction of high-resolution frames from video sequences , 1996, IEEE Trans. Image Process..
[19] Tieniu Tan,et al. Code-level information fusion of low-resolution iris image sequences for personal identification at a distance , 2013, 2013 IEEE Sixth International Conference on Biometrics: Theory, Applications and Systems (BTAS).
[20] Michal Irani,et al. Super-resolution from a single image , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[21] Xuelong Li,et al. A Comprehensive Survey to Face Hallucination , 2013, International Journal of Computer Vision.
[22] S. Sridharan,et al. Focus-score weighted super-resolution for uncooperative iris recognition at a distance and on the move , 2010, 2010 25th International Conference of Image and Vision Computing New Zealand.
[23] Junping Zhang,et al. Super-resolution of human face image using canonical correlation analysis , 2010, Pattern Recognit..
[24] Rafael C. González,et al. Digital image processing, 3rd Edition , 2008 .
[25] Julian Fiérrez,et al. Multiple classifiers in biometrics. Part 2: Trends and challenges , 2018, Inf. Fusion.
[26] Liang Lin,et al. Attention-Aware Face Hallucination via Deep Reinforcement Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Kiran B. Raja,et al. Smartphone based visible iris recognition using deep sparse filtering , 2015, Pattern Recognit. Lett..
[28] Xiaoou Tang,et al. Image Super-Resolution Using Deep Convolutional Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Yu Hu,et al. From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework , 2011, IEEE Transactions on Image Processing.
[30] Andrew Zisserman,et al. Deep Face Recognition , 2015, BMVC.
[31] Anand Deshpande,et al. Super resolution and recognition of long range captured multi-frame iris images , 2017, IET Biom..
[32] Reuben A. Farrugia,et al. Face Hallucination Using Linear Models of Coupled Sparse Support , 2015, IEEE Transactions on Image Processing.
[33] Julian Fiérrez,et al. Multiple classifiers in biometrics. part 1: Fundamentals and review , 2018, Inf. Fusion.
[34] William T. Freeman,et al. Example-Based Super-Resolution , 2002, IEEE Computer Graphics and Applications.
[35] Shiguang Shan,et al. Aligning Coupled Manifolds for Face Hallucination , 2009, IEEE Signal Processing Letters.
[36] Thomas S. Huang,et al. Image Super-Resolution Via Sparse Representation , 2010, IEEE Transactions on Image Processing.
[37] Dmitriy Vatolin,et al. Fast video super-resolution via classification , 2008, 2008 15th IEEE International Conference on Image Processing.
[38] M. Turk,et al. Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.
[39] Michael Elad,et al. Fast and robust super-resolution , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[40] Kaamran Raahemifar,et al. A performance comparison among different super-resolution techniques , 2016, Comput. Electr. Eng..
[41] Haidawati Nasir,et al. Singular value decomposition based fusion for super-resolution image reconstruction , 2011, ICSIPA.
[42] Reuben A. Farrugia,et al. Exploring deep learning image super-resolution for iris recognition , 2017, 2017 25th European Signal Processing Conference (EUSIPCO).
[43] K. Harshika. Image Quality Assessment for Fake Biometric Detection : Application to Iris , Fingerprint , and Face Recognition , 2017 .
[44] Eero P. Simoncelli,et al. Image quality assessment: from error visibility to structural similarity , 2004, IEEE Transactions on Image Processing.
[45] H. K. Huang. Handbook of Medical Imaging. Volumes 1-3 , 2007 .
[46] Anil K. Jain,et al. Biometric Recognition : An Overview , 2012 .
[47] Reuben A. Farrugia,et al. Eigen-patch iris super-resolution for iris recognition improvement , 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).
[48] Seong-Whan Lee,et al. An Example-Based Face Hallucination Method for Single-Frame, Low-Resolution Facial Images , 2008, IEEE Transactions on Image Processing.
[49] Shmuel Peleg,et al. Efficient super-resolution and applications to mosaics , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.
[50] Heung-Yeung Shum,et al. Fundamental limits of reconstruction-based superresolution algorithms under local translation , 2004 .
[51] Arun Ross,et al. Information fusion in low-resolution iris videos using Principal Components Transform , 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV).
[52] Kang Ryoung Park,et al. Super-Resolution Method Based on Multiple Multi-Layer Perceptrons for Iris Recognition , 2009, Proceedings of the 4th International Conference on Ubiquitous Information Technologies & Applications.
[53] Thomas B. Moeslund,et al. Super-resolution: a comprehensive survey , 2014, Machine Vision and Applications.
[54] Tieniu Tan,et al. Learning Based Resolution Enhancement of Iris Images , 2003, BMVC.
[55] Ruimin Hu,et al. Face Super-Resolution via Multilayer Locality-Constrained Iterative Neighbor Embedding and Intermediate Dictionary Learning , 2014, IEEE Transactions on Image Processing.
[56] Lei Zhang,et al. Nonlocally Centralized Sparse Representation for Image Restoration , 2013, IEEE Transactions on Image Processing.
[57] Nicu Sebe,et al. Neighborhood issue in single-frame image super-resolution , 2005, 2005 IEEE International Conference on Multimedia and Expo.
[58] Kyoung Mu Lee,et al. Enhanced Deep Residual Networks for Single Image Super-Resolution , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[59] Bernadette Dorizzi,et al. Impact of Quality-Based Fusion Techniques for Video-Based Iris Recognition at a Distance , 2015, IEEE Transactions on Information Forensics and Security.
[60] Marios Savvides,et al. IRIS super-resolution via nonparametric over-complete dictionary learning , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[61] D. Yeung,et al. Super-resolution through neighbor embedding , 2004, CVPR 2004.
[62] Matti Pietikäinen,et al. Face Description with Local Binary Patterns: Application to Face Recognition , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[63] Sridha Sridharan,et al. Quality-Driven Super-Resolution for Less Constrained Iris Recognition at a Distance and on the Move , 2011, IEEE Transactions on Information Forensics and Security.
[64] Rama Chellappa,et al. Super-Resolution of Face Images Using Kernel PCA-Based Prior , 2007, IEEE Transactions on Multimedia.
[65] Takeo Kanade,et al. Hallucinating faces , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[66] Shao-Yi Chien,et al. Eigen-patch: Position-patch based face hallucination using eigen transformation , 2014, 2014 IEEE International Conference on Multimedia and Expo (ICME).
[67] Michael Elad,et al. Robust shift and add approach to superresolution , 2003, SPIE Optics + Photonics.
[68] Sridha Sridharan,et al. Feature-domain super-resolution framework for Gabor-based face and iris recognition , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[69] Thomas S. Huang,et al. Image super-resolution as sparse representation of raw image patches , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[70] R. Barnard,et al. High-resolution iris image reconstruction from low-resolution imagery , 2006, SPIE Optics + Photonics.
[71] Michal Irani,et al. Motion Analysis for Image Enhancement: Resolution, Occlusion, and Transparency , 1993, J. Vis. Commun. Image Represent..
[72] Sridha Sridharan,et al. Robust mean super-resolution for less cooperative NIR iris recognition at a distance and on the move , 2010, SoICT '10.
[73] Giovanni Ramponi,et al. A simple edge-sensitive image interpolation filter , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.
[74] Anand Deshpande,et al. Multi-frame super-resolution for long range captured iris polar image , 2017, IET Biom..
[75] Takeo Kanade,et al. Limits on super-resolution and how to break them , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[76] Arun Ross,et al. 50 years of biometric research: Accomplishments, challenges, and opportunities , 2016, Pattern Recognit. Lett..
[77] Chun Qi,et al. Position-based face hallucination method , 2009, 2009 IEEE International Conference on Multimedia and Expo.
[78] G. Fahmy. Super-Resolution Construction of IRIS Images from a Visual Low Resolution Face Video , 2007, 2007 National Radio Science Conference.
[79] Russell C. Hardie,et al. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images , 1997, IEEE Trans. Image Process..
[80] Reuben A. Farrugia,et al. Robust face hallucination using quantization-adaptive dictionaries , 2016, 2016 IEEE International Conference on Image Processing (ICIP).
[81] Reuben A. Farrugia,et al. Iris Super-Resolution Using Iterative Neighbor Embedding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[82] Maoguo Gong,et al. Position-Patch Based Face Hallucination Using Convex Optimization , 2011, IEEE Signal Processing Letters.