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Face quality assessment aims at estimating the utility of a face image for the purpose of recognition.
The FERET evaluation methodology for face-recognition algorithms
P. J. Phillips, H. Moon, S. A. Rizvi, and P. J. Rauss · 2000
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Face recognition algorithms and the other-race effect: computational mechanisms for a developmental contact hypothesis
N. Furl, P. J. Phillips, and A. J. O’Toole · 2002
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Quality assessment of facial images
R. V. Hsu, J. Shah, and B. Martin · 2006
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Morph: a longitudinal image database of normal adult age-progression
K. Ricanek and T. Tesafaye · 2006
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Standardization of face image sample quality
X. Gao, S. Z. Li, R. Liu, and P. Zhang · 2007
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Performance of biometric quality measures
P. Grother and E. Tabassi · 2007
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Image-quality-based adaptive face recognition
H. Sellahewa and S. A. Jassim · 2010
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Cost-sensitive face recognition
Y. Zhang and Z.-H. Zhou · 2010
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Predicting performance of face recognition systems: An image characterization approach
G. Aggarwal, S. Biswas, P. J. Flynn, and K. W. Bowyer · 2011
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Standard, International Organization for Standardization, Nov. 2011
Information technology – Biometric data interchange formats – Part 5: Face image data · 2011
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An other-race effect for face recognition algorithms
P. J. Phillips, F. Jiang, A. Narvekar, J. Ayyad, and A. J. O’Toole · 2011
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Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition
Y. Wong, S. Chen, S. Mau, C. Sanderson, and B. C. Lovell · 2011
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Quality metrics for practical face recognition
A. Abaza, M. A. Harrison, and T. Bourlai · 2012
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Face image conformance to ISO/ICAO standards in machine readable travel documents
M. Ferrara, A. Franco, D. Maio, and D. Maltoni · 2012
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Face recognition performance: Role of demographic information
B. F. Klare, M. J. Burge, J. C. Klontz, R. W. Vorder Bruegge, and A. K. Jain · 2012
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On the existence of face quality measures
P. J. Phillips, J. R. Beveridge, D. S. Bolme, B. A. Draper, G. H. Givens, Y. M. Lui, S. Cheng, M. N. Teli, and H. Zhang · 2013
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Design and evaluation of photometric image quality measures for effective face recognition
A. Abaza, M. A. Harrison, T. Bourlai, and A. Ross · 2014
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A bayesian model for predicting face recognition performance using image quality
A. Dutta, R. N. J. Veldhuis, and L. J. Spreeuwers · 2014
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Age and gender estimation of unfiltered faces
E. Eidinger, R. Enbar, and T. Hassner · 2014
Cited alongside, same era.
One millisecond face alignment with an ensemble of regression trees
V. Kazemi and J. Sullivan · 2014
Cited alongside, same era.
Dropout: A simple way to prevent neural networks from overfitting
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov · 2014
Cited alongside, same era.
Face image quality assessment based on learning to rank
J. Chen, Y. Deng, G. Bai, and G. Su · 2015
Cited alongside, same era.
Standard, International Civil Aviation Organization, 2015
Machine Readable Travel Documents · 2015
Cited alongside, same era.
Face image assessment learned with objective and relative face image qualities for improved face recognition
H. Kim, S. H. Lee, and Y. M. Ro · 2015
VGGFace2: A dataset for recognising faces across pose and age
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman · 2018
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Stacked dense u-nets with dual transformers for robust face alignment
J. Guo, J. Deng, N. Xue, and S. Zafeiriou · 2018
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Deep imbalanced learning for face recognition and attribute prediction
C. Huang, Y. Li, C. C. Loy, and X. Tang · 2018
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Demographic effects in facial recognition and their dependence on image acquisition: An evaluation of eleven commercial systems
C. M. Cook, J. J. Howard, Y. B. Sirotin, J. L. Tipton, and A. R. Vemury · 2019
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ArcFace: Additive angular margin loss for deep face recognition
J. Deng, J. Guo, N. Xue, and S. Zafeiriou · 2019
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Cited alongside, same era.
FaceNet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
The Perpetual Line-up: Unregulated Police Face Recognition in America
C. Garvie, G. U. C. on Privacy, Technology, and G. U. L. C. C. on Privacy & Technology · 2016
Cited alongside, same era.
MS-Celeb-1M: A dataset and benchmark for large-scale face recognition
Y. Guo, L. Zhang, Y. Hu, X. He, and J. Gao · 2016
Cited alongside, same era.
50 years of biometric research: Accomplishments, challenges, and opportunities
A. K. Jain, K. Nandakumar, and A. Ross · 2016
Cited alongside, same era.
Are face recognition systems accurate? Depends on your race
M. Orcutt · 2016
Cited alongside, same era.
Best practice technical guidelines for automated border control (ABC) systems
Frontex · 2017
Cited alongside, same era.
S. Gong, X. Liu, and A. K. Jain · 2019
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Face recognition vendor test part 3: Demographic effects
P. Grother, M. Ngan, and K. Hanaoka · 2019
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FaceQnet: Quality assessment for face recognition based on deep learning
J. Hernandez-Ortega, J. Galbally, J. Fiérrez, R. Haraksim, and L. Beslay · 2019
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The effect of broad and specific demographic homogeneity on the imposter distributions and false match rates in face recognition algorithm performance
J. J. Howard, Y. Sirotin, and A. Vermury · 2019
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Analyzing and reducing the damage of dataset bias to face recognition with synthetic data
A. Kortylewski, B. Egger, A. Schneider, T. Gerig, A. Morel-Forster, and T. Vetter · 2019
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Additive adversarial learning for unbiased authentication
J. Liang, Y. Cao, C. Zhang, S. Chang, K. Bai, and Z. Xu · 2019
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Neurotec Biometric SDK 11.1
Neurotechnology · 2019
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Mitigate bias in face recognition using skewness-aware reinforcement learning
M. Wang and W. Deng · 2019
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Deep class-skewed learning for face recognition
P. Wang, F. Su, Z. Zhao, Y. Guo, Y. Zhao, and B. Zhuang · 2019
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Feature transfer learning for face recognition with under-represented data
X. Yin, X. Yu, K. Sohn, X. Liu, and M. Chandraker · 2019
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Demographic bias in biometrics: A survey on an emerging challenge, 2020
P. Drozdowski, C. Rathgeb, A. Dantcheva, N. Damer, and C. Busch · 2020
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Algorithmic discrimination: Formulation and exploration in deep learning-based face biometrics
I. Serna, A. Morales, J. Fiérrez, M. Cebrián, N. Obradovich, and I. Rahwan · 2020
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SER-FIQ: Unsupervised estimation of face image quality based on stochastic embedding robustness
P. Terhörst, J. N. Kolf, N. Damer, F. Kirchbuchner, and A. Kuijper · 2020
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