21.2.2.1 Face Recognition Systems, Occlusions, Masks

Chapter Contents (Back)
Face Recognition. Application, Face Recognition. Application, Faces. Masked Faces. 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


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:Oct 20, 2021 at 09:45:26