21.2.2.1 Face Recognition Systems, Occlusions, Masks

Chapter Contents (Back)
Face Recognition. Application, Face Recognition. Application, Faces. Masked Faces. Occlusions. Made more relevant due to COVID and more common mask wearing.

Lin, J., Ming, J., Crookes, D.[Danny],
Robust face recognition using posterior union model based neural networks,
IET-CV(3), No. 3, September 2009, pp. 130-142.
DOI Link 0909
BibRef

Lin, J., Ming, J., Crookes, D.[Danny],
Robust face recognition with partial occlusion, illumination variation and limited training data by optimal feature selection,
IET-CV(5), No. 1, March 2011, pp. 23-32.
DOI Link 1101
BibRef

McLaughlin, N., Ming, J.[Ji], Crookes, D.,
Robust Multimodal Person Identification With Limited Training Data,
HMS(43), No. 2, March 2013, pp. 214-224.
IEEE DOI 1303
BibRef

Yu, Y.F.[Yu-Feng], Dai, D.Q.[Dao-Qing], Ren, C.X.[Chuan-Xian], Huang, K.K.[Ke-Kun],
Discriminative multi-scale sparse coding for single-sample face recognition with occlusion,
PR(66), No. 1, 2017, pp. 302-312.
Elsevier DOI 1704
Face recognition BibRef

Li, X.X., Dai, D.Q.[Dao-Qing], Zhang, X.F., Ren, C.X.[Chuan-Xian],
Structured Sparse Error Coding for Face Recognition With Occlusion,
IP(22), No. 5, May 2013, pp. 1889-1900.
IEEE DOI 1303
BibRef

Ou, W.H.[Wei-Hua], You, X.G.[Xin-Ge], Tao, D.C.[Da-Cheng], Zhang, P.Y.[Peng-Yue], Tang, Y.Y.[Yuan-Yan], Zhu, Z.Q.[Zi-Qi],
Robust face recognition via occlusion dictionary learning,
PR(47), No. 4, 2014, pp. 1559-1572.
Elsevier DOI 1402
Face recognition BibRef

Ou, W.H.[Wei-Hua], Luan, X.[Xiao], Gou, J.P.[Jian-Ping], Zhou, Q.[Quan], Xiao, W.J.[Wen-Jun], Xiong, X.G.[Xiang-Guang], Zeng, W.[Wu],
Robust discriminative nonnegative dictionary learning for occluded face recognition,
PRL(107), 2018, pp. 41-49.
Elsevier DOI 1805
Video surveillance, Face recognition, Occlusion, Nonnegative dictionary learning, Robust feature selection BibRef

McLaughlin, N., Ming, J., Crookes, D.,
Largest Matching Areas for Illumination and Occlusion Robust Face Recognition,
Cyber(47), No. 3, March 2017, pp. 796-808.
IEEE DOI 1702
Face BibRef

Zhao, F.[Fang], Feng, J.S.[Jia-Shi], Zhao, J.[Jian], Yang, W.H.[Wen-Han], Yan, S.C.[Shui-Cheng],
Robust LSTM-Autoencoders for Face De-Occlusion in the Wild,
IP(27), No. 2, February 2018, pp. 778-790.
IEEE DOI 1712
Decoding, Face, Face recognition, Image reconstruction, Image restoration, Logic gates, Robustness, Face de-occlusion, long short-term memory BibRef

Alrjebi, M.M.[Mustafa M.], Pathirage, C.S.N.[C.S. Nadith], Liu, W.Q.[Wan-Quan], Li, L.[Ling],
Face recognition against occlusions via colour fusion using 2D-MCF model and SRC,
PRL(95), No. 1, 2017, pp. 14-21.
Elsevier DOI 1708
BibRef
Earlier: A2, A4, A3, Only:
Discriminant auto encoders for face recognition with expression and pose variations,
ICPR16(3512-3517)
IEEE DOI 1705
Analytical models, Face, Face recognition, Linear programming, Nickel, Noise reduction, Training BibRef

Liang, A., Pathirage, C.S.N.[C.S. Nadith], Wang, C., Liu, W.Q.[Wan-Quan], Li, L.[Ling], Duan, J.,
Face Recognition Despite Wearing Glasses,
DICTA15(1-8)
IEEE DOI 1603
face recognition BibRef

Pathirage, C.S.N.[C.S. Nadith], Li, L.[Ling], Liu, W.Q.[Wan-Quan], Zhang, M.,
Stacked Face De-Noising Auto Encoders for Expression-Robust Face Recognition,
DICTA15(1-8)
IEEE DOI 1603
face recognition BibRef

Chen, Z.[Zhe], Wu, X.J.[Xiao-Jun], Kittler, J.V.[Josef V.],
A sparse regularized nuclear norm based matrix regression for face recognition with contiguous occlusion,
PRL(125), 2019, pp. 494-499.
Elsevier DOI 1909
Face recognition, Nuclear norm based matrix regression, Sparse representation BibRef

Cao, Z.H.[Zhi-Hao], Shao, M.F.[Ming-Feng], Xu, L.[Li], Mu, S.M.[Shao-Min], Qu, H.C.[Hong-Chun],
MaskHunter: real-time object detection of face masks during the COVID-19 pandemic,
IET-IPR(14), No. 16, 19 December 2020, pp. 4359-4367.
DOI Link 2103
BibRef

Du, H.[Hang], Shi, H.L.[Hai-Lin], Liu, Y.L.[Ying-Lu], Zeng, D.[Dan], Mei, T.[Tao],
Towards NIR-VIS Masked Face Recognition,
SPLetters(28), 2021, pp. 768-772.
IEEE DOI 2105
Face recognition, Training, Faces, Prototypes, Probes, Mutual information, COVID-19, Heterogeneous, NIR-VIS, cross modality, masked face recognition BibRef

Damer, N.[Naser], Boutros, F.[Fadi], Süßmilch, M.[Marius], Kirchbuchner, F.[Florian], Kuijper, A.[Arjan],
Extended evaluation of the effect of real and simulated masks on face recognition performance,
IET-Bio(10), No. 5, 2021, pp. 548-561.
DOI Link 2109
BibRef

Zeng, D.[Dan], Veldhuis, R.N.J.[Raymond N.J.], Spreeuwers, L.J.[Luuk J.], Arendsen, R.[Richard],
Occlusion-invariant face recognition using simultaneous segmentation,
IET-Bio(10), No. 6, 2021, pp. 679-691.
DOI Link 2110
BibRef

Wu, P.S.[Pei-Shu], Li, H.[Han], Zeng, N.Z.[Nian-Zyin], Li, F.P.[Feng-Ping],
FMD-Yolo: An efficient face mask detection method for COVID-19 prevention and control in public,
IVC(117), 2022, pp. 104341.
Elsevier DOI 2112
Face mask detection, COVID-19, Improved YoloV3 algorithm, Feature extraction and fusion BibRef

Kumar, S.[Sumit], Singh, S.K.[Satish Kumar], Mishra, N.K.[Nayaneesh Kumar], Dutta, M.[Mainak],
An Encoder-Decoder Based Thermo-Visible Image Translation for Disguised and Undisguised Faces,
IVC(119), 2022, pp. 104376.
Elsevier DOI 2202
Image translation, Generative Adversarial Networks (GAN), Pix2Pix, Cycle-GAN, Encoder-decoder BibRef

Boutros, F.[Fadi], Damer, N.[Naser], Kirchbuchner, F.[Florian], Kuijper, A.[Arjan],
Self-restrained triplet loss for accurate masked face recognition,
PR(124), 2022, pp. 108473.
Elsevier DOI 2203
COVID-19, Biometric recognition, Identity verification, Masked face recognition BibRef

Ma, X.[Xiang], Ma, Q.Q.[Qin-Qin], Ma, Q.[Qian], Han, X.[Xiao],
Robust face recognition for occluded real-world images using constrained probabilistic sparse network,
IET-IPR(16), No. 5, 2022, pp. 1359-1375.
DOI Link 2203
BibRef

Li, Q.[Qin], He, H.H.[Hui-Hui], Lai, H.[Hong], Cai, T.[Tie], Wang, Q.Q.[Qian-Qian], Gao, Q.[QuanXue],
Enhanced nuclear norm based matrix regression for occluded face recognition,
PR(126), 2022, pp. 108585.
Elsevier DOI 2204
Face recognition, Occluded image, Nuclear norm, Low-Rank BibRef

Zhang, Y.X.[Yu-Xuan], Wang, X.[Xin], Shakeel, M.S.[M. Saad], Wan, H.[Hao], Kang, W.X.[Wen-Xiong],
Learning upper patch attention using dual-branch training strategy for masked face recognition,
PR(126), 2022, pp. 108522.
Elsevier DOI 2204
Masked face recognition, Mask-occlusion, Attention module, Dual-branch training strategy BibRef

Zhao, W.S.[Wei-Song], Zhu, X.Y.[Xiang-Yu], Shi, H.[Haichao], Zhang, X.Y.[Xiao-Yu], Lei, Z.[Zhen],
Consistent Sub-Decision Network for Low-Quality Masked Face Recognition,
SPLetters(29), 2022, pp. 1147-1151.
IEEE DOI 2205
Face recognition, Faces, Feature extraction, Facial features, Training, Knowledge engineering, Drives, COVID-19, low-quality BibRef


Tiwari, H.[Hitika], Kurmi, V.K.[Vinod K.], Venkatesh, K.S., Chen, Y.S.[Yong-Sheng],
Occlusion Resistant Network for 3D Face Reconstruction,
WACV22(297-306)
IEEE DOI 2202
Training, Solid modeling, Sensitivity, Computational modeling, Pipelines, Surges, Virtual and Augmented Reality BibRef

Bharadwaj, R.[Rohit], Jaswal, G.[Gaurav], Nigam, A.[Aditya], Tiwari, K.[Kamlesh],
Mobile based Human Identification using Forehead Creases: Application and Assessment under COVID-19 Masked Face Scenarios,
WACV22(1215-1223)
IEEE DOI 2202
COVID-19, Deep learning, Training, Representation learning, Forehead, Protocols, Biometrics (access control), Deep Learning BibRef

Seneviratne, S.[Sachith], Kasthuriarachchi, N.[Nuran], Rasnayaka, S.[Sanka],
Multi-Dataset Benchmarks for Masked Identification using Contrastive Representation Learning,
DICTA21(01-08)
IEEE DOI 2201
Training, Representation learning, Visualization, Pandemics, Face recognition, Surveillance, Benchmark testing, one-shot learning BibRef

Mishra, S.[Shiksha], Majumdar, P.[Puspita], Singh, R.[Richa], Vatsa, M.[Mayank],
Indian Masked Faces in the Wild Dataset,
ICIP21(884-888)
IEEE DOI 2201
COVID-19, Graphics, Image resolution, Image recognition, Pandemics, Databases, Face recognition, Masked Face Recognition, COVID-19 BibRef

Yang, B.[Bo], Jianming, W.[Wu], Hattori, G.[Gen],
Face Mask Aware Robust Facial Expression Recognition During the Covid-19 Pandemic,
ICIP21(240-244)
IEEE DOI 2201
COVID-19, Heating systems, Image recognition, Pandemics, Face recognition, Facial expression recognition, occlusion, COVID-19 BibRef

Hong, J.H.[Je Hyeong], Kim, H.[Hanjo], Kim, M.S.[Min-Soo], Nam, G.P.[Gi Pyo], Cho, J.[Junghyun], Ko, H.S.[Hyeong-Seok], Kim, I.J.[Ig-Jae],
A 3d Model-Based Approach for Fitting Masks To Faces In the Wild,
ICIP21(235-239)
IEEE DOI 2201
Training, COVID-19, Solid modeling, Adaptation models, Face recognition, Fitting, covid, mask, face, augmentation, 3dmm BibRef

Huang, B.J.[Bao-Jin], Wang, Z.Y.[Zhong-Yuan], Wang, G.C.[Guang-Cheng], Jiang, K.[Kui], He, Z.[Zheng], Zou, H.[Hua], Zou, Q.[Qin],
Masked Face Recognition Datasets and Validation,
MFR21(1487-1491)
IEEE DOI 2112
Training, COVID-19, Deep learning, Epidemics, Face recognition, Coronaviruses, Security BibRef

Feng, T.[Tao], Xu, L.[Liangpeng], Yuan, H.[Hangjie], Zhao, Y.[Yongfei], Tang, M.Q.[Ming-Qian], Wang, M.[Mang],
Towards Mask-robust Face Recognition,
MFR21(1492-1496)
IEEE DOI 2112
Training, Face recognition, Computational modeling, Pipelines, Feature extraction BibRef

Qi, D.[Delong], Hu, K.[Kangli], Tan, W.J.[Wei-Jun], Yao, Q.[Qi], Liu, J.F.[Jing-Feng],
Balanced Masked and Standard Face Recognition,
MFR21(1497-1502)
IEEE DOI 2112
Training, Face recognition, Network architecture, Feature extraction, Face detection, Standards BibRef

Jiang, H.R.[Hao-Ran], Zeng, D.[Dan],
Explainable Face Recognition based on Accurate Facial Compositions,
MFR21(1503-1512)
IEEE DOI 2112
Face recognition, Semantics, Refining, Network architecture, Feature extraction BibRef

Yu, J.[Jun], Hao, X.[Xinlong], Cui, Z.[Zeyu], He, P.[Peng], Liu, T.[Tongliang],
Boosting Fairness for Masked Face Recognition,
MFR21(1531-1540)
IEEE DOI 2112
COVID-19, Pandemics, Face recognition, Training data, Nose BibRef

Deng, J.K.[Jian-Kang], Guo, J.[Jia], An, X.[Xiang], Zhu, Z.[Zheng], Zafeiriou, S.P.[Stefanos P.],
Masked Face Recognition Challenge: The InsightFace Track Report,
MFR21(1437-1444)
IEEE DOI 2112
COVID-19, Epidemics, Data privacy, Face recognition, Computational modeling BibRef

An, X.[Xiang], Zhu, X.[Xuhan], Gao, Y.[Yuan], Xiao, Y.[Yang], Zhao, Y.[Yongle], Feng, Z.[Ziyong], Wu, L.[Lan], Qin, B.[Bin], Zhang, M.[Ming], Zhang, D.[Debing], Fu, Y.[Ying],
Partial FC: Training 10 Million Identities on a Single Machine,
MFR21(1445-1449)
IEEE DOI 2112
Training, Technological innovation, Face recognition, Graphics processing units, Parallel processing, Throughput BibRef

Wang, W.[Weiqiu], Zhao, Z.C.[Zhi-Cheng], Zhang, H.Y.[Hong-Yuan], Wang, Z.H.[Zhao-Hui], Su, F.[Fei],
MaskOut: A Data Augmentation Method for Masked Face Recognition,
MFR21(1450-1455)
IEEE DOI 2112
Deep learning, COVID-19, Pandemics, Face recognition, Computational modeling, Conferences BibRef

Wang, K.[Kai], Wang, S.[Shuo], Yang, J.F.[Jian-Fei], Wang, X.B.[Xiao-Bo], Sun, B.[Baigui], Li, H.[Hao], You, Y.[Yang],
Mask Aware Network for Masked Face Recognition in the Wild,
MFR21(1456-1461)
IEEE DOI 2112
COVID-19, Training, Face recognition, Design methodology, Robustness BibRef

Qian, H.J.[Han-Jie], Zhang, P.P.[Pan-Pan], Ji, S.[Sijie], Cao, S.[Shuxin], Xu, Y.[Yuecong],
Improving Representation Consistency with Pairwise Loss for Masked Face Recognition,
MFR21(1462-1467)
IEEE DOI 2112
COVID-19, Pandemics, Face recognition, Nose, Mouth BibRef

Chang, W.Y.[Wei-Yi], Tsai, M.Y.[Ming-Ying], Lo, S.C.[Shih-Chieh],
ResSaNet: A Hybrid Backbone of Residual Block and Self-Attention Module for Masked Face Recognition,
MFR21(1468-1476)
IEEE DOI 2112
COVID-19, Convolution, Face recognition, Neural networks, Feature extraction BibRef

Liu, B.[Boxiao], Zhang, S.[Shenghan], Song, G.[Guanglu], You, H.[Haihang], Liu, Y.[Yu],
Rectifying the Data Bias in Knowledge Distillation,
MFR21(1477-1486)
IEEE DOI 2112
Training, Performance evaluation, Knowledge engineering, Face recognition, Neural networks, Training data BibRef

Tomei, M.[Matteo], Baraldi, L.[Lorenzo], Bronzin, S.[Simone], Cucchiara, R.[Rita],
Estimating (and fixing) the Effect of Face Obfuscation in Video Recognition,
TCV21(3257-3263)
IEEE DOI 2109
Visualization, Face recognition, Computational modeling, Pipelines, Object recognition BibRef

Barros, P.[Pablo], Sciutti, A.[Alessandra],
I Only Have Eyes for You: The Impact of Masks On Convolutional-Based Facial Expression Recognition,
LXCV21(1226-1231)
IEEE DOI 2109
Training, Visualization, Adaptation models, Pandemics, Face recognition, Neural networks BibRef

Zheng, W.[Wenbo], Yan, L.[Lan], Wang, F.Y.[Fei-Yue], Gou, C.[Chao],
Learning from the Web: Webly Supervised Meta-Learning for Masked Face Recognition,
PBVS21(4299-4308)
IEEE DOI 2109
Knowledge engineering, Training, Annotations, Pandemics, Face recognition, Frequency-domain analysis, Supervised learning BibRef

Prasad, S.[Shitala], Li, Y.Q.[Yi-Qun], Lin, D.[Dongyun], Sheng, D.[Dong],
maskedFaceNet: A Progressive Semi-Supervised Masked Face Detector,
WACV21(3388-3397)
IEEE DOI 2106
COVID-19, Training data, Detectors, Semisupervised learning, Benchmark testing BibRef

Xu, X., Sarafianos, N., Kakadiaris, I.A.,
On Improving the Generalization of Face Recognition in the Presence of Occlusions,
Biometrics20(3470-3480)
IEEE DOI 2008
Face recognition, Face, Training, Robustness, Generators, Visualization, Degradation BibRef

Ge, S., Li, J., Ye, Q., Luo, Z.,
Detecting Masked Faces in the Wild with LLE-CNNs,
CVPR17(426-434)
IEEE DOI 1711
Deformable models, Detectors, Face detection, Feature extraction, Proposals, Training BibRef

Nieto-Rodríguez, A., Mucientes, M., Brea, V.M.,
System for Medical Mask Detection in the Operating Room Through Facial Attributes,
IbPRIA15(138-145).
Springer DOI 1506
BibRef

Wei, X.J.[Xing-Jie], Li, C.T.[Chang-Tsun],
Fixation and Saccade Based Face Recognition from Single Image per Person with Various Occlusions and Expressions,
Biometrics13(70-75)
IEEE DOI 1309
biometrics BibRef

Wei, X.J.[Xing-Jie], Li, C.T.[Chang-Tsun], Hu, Y.J.[Yong-Jian],
Robust Face Recognition under Varying Illumination and Occlusion Considering Structured Sparsity,
DICTA12(1-7).
IEEE DOI 1303
BibRef

Khan, W.[Waqar], Delmas, P.[Patrice], Gimel'farb, G.L.[Georgy L.], Morris, J.[John],
Comparing subspace methods for face recognition,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef

Shorin, A.[Alexander], Gimel'farb, G.L.[Georgy L.], Delmas, P.[Patrice], Morris, J.[John],
Image Matching with Spatially Variant Contrast and Offset: A Quadratic Programming Approach,
SSPR08(127-136).
Springer DOI 0812
BibRef
And: A2, A3, A1, A4:
Quadratic programming vs. concurrent correlation matching under non-uniform image contrast and offset,
IVCNZ08(1-6).
IEEE DOI 0811
BibRef
Earlier: A3, A2, A1, A4:
Robust Least-Squares Image Matching in the Presence of Outliers,
CAIP07(776-783).
Springer DOI 0708
BibRef
And: A2, A3, A4, A1:
Robust Face Matching Under Large Occlusions,
CIAP07(448-453).
IEEE DOI 0709
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Verification Systems, Face Authentication .


Last update:Jul 17, 2022 at 17:44:20