A Cascade Face Spoofing Detector Based on Face Anti-Spoofing R-CNN and Improved Retinex LBP
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Rongxin Jiang | Yaowu Chen | Haonan Chen | Xiang Tian | Rongxin Jiang | Xiang Tian | Yao-wu Chen | Haonan Chen
[1] Matti Pietikäinen,et al. Competition on counter measures to 2-D facial spoofing attacks , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[2] Jose Dolz,et al. An Attention Model for Group-Level Emotion Recognition , 2018, ICMI.
[3] Lai-Man Po,et al. Integration of image quality and motion cues for face anti-spoofing: A neural network approach , 2016, J. Vis. Commun. Image Represent..
[4] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Jukka Komulainen,et al. Face Spoofing Detection Using Colour Texture Analysis , 2016, IEEE Transactions on Information Forensics and Security.
[6] Matti Pietikäinen,et al. Complementary countermeasures for detecting scenic face spoofing attacks , 2013, 2013 International Conference on Biometrics (ICB).
[7] Xiaoming Liu,et al. Learning Deep Models for Face Anti-Spoofing: Binary or Auxiliary Supervision , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[8] Abdenour Hadid,et al. An original face anti-spoofing approach using partial convolutional neural network , 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).
[9] A. Lakshmi,et al. DEEP REPRESENTATIONS FOR IRIS , FACE , AND FINGERPRINT SPOOFING DETECTION , 2017 .
[10] Luisa Verdoliva,et al. An Investigation of Local Descriptors for Biometric Spoofing Detection , 2015, IEEE Transactions on Information Forensics and Security.
[11] Xiaoming Liu,et al. Face anti-spoofing using patch and depth-based CNNs , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[12] Christof Koch,et al. A Model of Saliency-Based Visual Attention for Rapid Scene Analysis , 2009 .
[13] Stan Z. Li,et al. Learn Convolutional Neural Network for Face Anti-Spoofing , 2014, ArXiv.
[14] Jian Sun,et al. Guided Image Filtering , 2010, ECCV.
[15] Sébastien Marcel,et al. Face Anti-spoofing Based on General Image Quality Assessment , 2014, 2014 22nd International Conference on Pattern Recognition.
[16] Matti Pietikäinen,et al. Face spoofing detection from single images using micro-texture analysis , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[17] Xiaoyue Jiang,et al. Replayed Video Attack Detection Based on Motion Blur Analysis , 2019, IEEE Transactions on Information Forensics and Security.
[18] David Windridge,et al. Detection of Face Spoofing Using Visual Dynamics , 2015, IEEE Transactions on Information Forensics and Security.
[19] Junjie Yan,et al. A face antispoofing database with diverse attacks , 2012, 2012 5th IAPR International Conference on Biometrics (ICB).
[20] Yi Li,et al. Face Liveness Detection from a Single Image with Sparse Low Rank Bilinear Discriminative Model , 2010, ECCV.
[21] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Fei Peng,et al. A competition on generalized software-based face presentation attack detection in mobile scenarios , 2017, 2017 IEEE International Joint Conference on Biometrics (IJCB).
[23] Jukka Komulainen,et al. On the generalization of color texture-based face anti-spoofing , 2018, Image Vis. Comput..
[24] Feiyue Huang,et al. Unsupervised Domain Adaptation for Face Anti-Spoofing , 2018, IEEE Transactions on Information Forensics and Security.
[25] Jian Sun,et al. Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[26] Jukka Komulainen,et al. OULU-NPU: A Mobile Face Presentation Attack Database with Real-World Variations , 2017, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[27] Tieniu Tan,et al. Live face detection based on the analysis of Fourier spectra , 2004, SPIE Defense + Commercial Sensing.
[28] Xiaogang Wang,et al. Residual Attention Network for Image Classification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[29] Carlos D. Castillo,et al. Crystal Loss and Quality Pooling for Unconstrained Face Verification and Recognition , 2018, ArXiv.
[30] Marios Savvides,et al. CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection , 2016, ArXiv.
[31] Deva Ramanan,et al. Attentional Pooling for Action Recognition , 2017, NIPS.
[32] Yizhou Wang,et al. Face Detection with End-to-End Integration of a ConvNet and a 3D Model , 2016, ECCV.
[33] Gang Hua,et al. Supervised Transformer Network for Efficient Face Detection , 2016, ECCV.
[34] Samarth Bharadwaj,et al. Computationally Efficient Face Spoofing Detection with Motion Magnification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[35] Matti Pietikäinen,et al. Face liveness detection using dynamic texture , 2014, EURASIP J. Image Video Process..
[36] Sébastien Marcel,et al. On the effectiveness of local binary patterns in face anti-spoofing , 2012, 2012 BIOSIG - Proceedings of the International Conference of Biometrics Special Interest Group (BIOSIG).
[37] Ross B. Girshick,et al. Fast R-CNN , 2015, 1504.08083.
[38] Lin Sun,et al. Eyeblink-based Anti-Spoofing in Face Recognition from a Generic Webcamera , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[39] Sébastien Marcel,et al. Counter-measures to photo attacks in face recognition: A public database and a baseline , 2011, 2011 International Joint Conference on Biometrics (IJCB).
[40] Josef Bigün,et al. Verifying liveness by multiple experts in face biometrics , 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[41] Zhen Zhou,et al. See the Forest for the Trees: Joint Spatial and Temporal Recurrent Neural Networks for Video-Based Person Re-identification , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Anil K. Jain,et al. Face Spoof Detection With Image Distortion Analysis , 2015, IEEE Transactions on Information Forensics and Security.
[43] Anderson Rocha,et al. Face Spoofing Detection Through Visual Codebooks of Spectral Temporal Cubes , 2015, IEEE Transactions on Image Processing.
[44] Shengcai Liao,et al. Face liveness detection with component dependent descriptor , 2013, 2013 International Conference on Biometrics (ICB).
[45] Anil K. Jain,et al. Cross-Database Face Antispoofing with Robust Feature Representation , 2016, CCBR.
[46] E. Land,et al. Lightness and retinex theory. , 1971, Journal of the Optical Society of America.
[47] A. Hadid,et al. Face anti-spoofing via deep local binary patterns , 2017, 2017 IEEE International Conference on Image Processing (ICIP).
[48] Jukka Komulainen,et al. Face anti-spoofing based on color texture analysis , 2015, 2015 IEEE International Conference on Image Processing (ICIP).
[49] Sébastien Marcel,et al. LBP - TOP Based Countermeasure against Face Spoofing Attacks , 2012, ACCV Workshops.
[50] Samarth Bharadwaj,et al. Face anti-spoofing via motion magnification and multifeature videolet aggregation , 2014 .
[51] Chenxu Zhao,et al. Exploiting temporal and depth information for multi-frame face anti-spoofing , 2018, ArXiv.
[52] Huaizu Jiang,et al. Face Detection with the Faster R-CNN , 2016, 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017).
[53] Hans-Peter Kriegel,et al. Integrating structured biological data by Kernel Maximum Mean Discrepancy , 2006, ISMB.