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Face image quality is an important factor to enable high performance face recognition systems.
The feret evaluation methodology for face-recognition algorithms
P. J. Phillips, Hyeonjoon Moon, S. A. Rizvi, and P. J. Rauss · 2000
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Quality assessment of facial images
R. V. Hsu, J. Shah, and B. Martin · 2006
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Gaussian processes for machine learning
Carl Edward Rasmussen · 2006
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Standardization of face image sample quality
Xiufeng Gao, Stan Z. Li, Rong Liu, and Peiren Zhang · 2007
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Performance of biometric quality measures
Patrick Grother and Elham Tabassi · 2007
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller · 2007
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Image-quality-based adaptive face recognition
H. Sellahewa and S. A. Jassim · 2010
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Predicting performance of face recognition systems: An image characterization approach
Gaurav Aggarwal, Soma Biswas, Patrick J. Flynn, and Kevin 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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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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No-reference image quality assessment in the spatial domain
A. Mittal, A. K. Moorthy, and A. C. Bovik · 2012
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ADADELTA: an adaptive learning rate method
Matthew D. Zeiler · 2012
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Making a “completely blind” image quality analyzer
A. Mittal, R. Soundararajan, and A. C. Bovik · 2013
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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
Cited alongside, same era.
Design and evaluation of photometric image quality measures for effective face recognition
A. Abaza, M. A. Harrison, T. Bourlai, and A. Ross · 2014
Cited alongside, same era.
Personalized face reference from video: Key-face selection and feature-level fusion
Naser Damer, Timotheos Samartzidis, and Alexander Nouak · 2014
Cited alongside, same era.
A bayesian model for predicting face recognition performance using image quality
Abhishek Dutta, Raymond N. J. Veldhuis, and Luuk J. Spreeuwers · 2014
Cited alongside, same era.
Age and gender estimation of unfiltered faces
Eran Eidinger, Roee Enbar, and Tal Hassner · 2014
Cited alongside, same era.
One millisecond face alignment with an ensemble of regression trees
MS-Celeb-1M: A dataset and benchmark for large-scale face recognition
Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, and Jianfeng Gao · 2016
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Standard, 2016
ISO/IEC 19795-1:2006 Information technology — Biometric performance testing and reporting · 2016
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Best practice technical guidelines for automated border control (abc) systems
Frontex · 2017
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On the complex domain deep machine learning for face recognition
Bipin Kumar Tripathi · 2017
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Assessing face image quality for smartphone based face recognition system
P. Wasnik, K. B. Raja, R. Ramachandra, and C. Busch · 2017
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Learning face image quality from human assessments
L. Best-Rowden and A. K. Jain · 2018
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Vahid Kazemi and Josephine Sullivan · 2014
Cited alongside, same era.
Dropout: A simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan 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
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
Florian Schroff, Dmitry Kalenichenko, and James Philbin · 2015
Cited alongside, same era.
Biometric sample quality
Elham Tabassi and Patrick Grother · 2015
Cited alongside, same era.
Ongoing face recognition vendor test (frvt) part 2: Identification
P. Grother, M. Ngan, and K. Hanaoka · 2018
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Stacked dense u-nets with dual transformers for robust face alignment
Jia Guo, Jiankang Deng, Niannan Xue, and Stefanos Zafeiriou · 2018
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Robust face recognition via discriminative and common hybrid dictionary learning
Chang-Peng Wang, Wei Wei, Jiang-She Zhang, and Hou-Bing Song · 2018
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Face recognition vendor test - face recognition quality assessment concept and goals
Patrick Grother, Mei Ngan, and Kayee Hanaoka · 2019
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Faceqnet: Quality assessment for face recognition based on deep learning
Javier Hernandez-Ortega, Javier Galbally, Julian Fiérrez, Rudolf Haraksim, and Laurent Beslay · 2019
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Neurotec Biometric SDK 11.1
Neurotechnology · 2019
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Reliable age and gender estimation from face images: Stating the confidence of model predictions
Philipp Terhörst, Marco Huber, Jan Niklas Kolf, Ines Zelch, Naser Damer, Florian Kirchbuchner, and Arjan Kuijper · 2019
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