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We explore varying face recognition accuracy across demographic groups as a phenomenon partly caused by differences in face illumination.
The cmu pose, illumination, and expression database
Terence Sim, Simon Baker, and Maan Bsat · 2003
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Morph: A longitudinal image database of normal adult age-progression
Karl Ricanek and Tamirat Tesafaye · 2006
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Application notes - algorithms for assessing the quality of facial images
Mohamed Abdel-Mottaleb and Mohammad H. Mahoor · 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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Biolab-icao: A new benchmark to evaluate applications assessing face image compliance to iso/iec 19794-5 standard
D. Maltoni, A. Franco, M. Ferrara, D. Maio, and A. Nardelli · 2009
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Complete face logs for video sequences using face quality measures
K Nasrollahi and Thomas B Moeslund · 2009
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Quantifying how lighting and focus affect face recognition performance
J. Ross Beveridge, David S. Bolme, Bruce A. Draper, Geof H. Givens, Yui Man Lui, and P. Jonathon Phillips · 2010
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Multi-pie
Ralph Gross, Iain Matthews, Jeffrey Cohn, Takeo Kanade, and Simon Baker · 2010
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https://www.iso.org/standard/50867.html
Iso/iec 19794-5:2011 information technology – biometric data interchange formats – part 5: Face image data · 2011
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Near infrared face image quality assessment system of video sequences
Jianfeng Long and Shutao Li · 2011
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Measuring measures for face sample quality
Maria De Marsico, Michele Nappi, and Daniel Riccio · 2011
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Quality metrics for practical face recognition
Ayman Abaza, Mary Ann Harrison, and Thirimachos Bourlai · 2012
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A comparative study on illumination preprocessing in face recognition
Hu Han, Shiguang Shan, Xilin Chen, and Wen Gao · 2013
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Design and evaluation of photometric image quality measures for effective face recognition
Ayman Abaza, Mary Ann Harrison, Thirimachos Bourlai, and Arun Ross · 2014
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Design and evaluation of photometric image quality measures for effective face recognition
Ayman Abaza, Mary Ann Harrison, Thirimachos Bourlai, and Arun Ross · 2014
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Deep face recognition
Omkar M Parkhi, Andrea Vedaldi, and Andrew Zisserman · 2015
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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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IARPA Janus Benchmark-B Face Dataset
Cameron Whitelam, Emma Taborsky, Austin Blanton, Brianna Maze, Jocelyn Adams, Tim Miller, Nathan Kalka, Anil K. Jain, James A. Duncan, Kristen Allen, Jordan Cheney, and Patrick Grother · 2017
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Review on the effects of age, gender, and race demographics on automatic face recognition
Salem Hamed Abdurrahim, Salina Abdul Samad, and Aqilah Baseri Huddin · 2018
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Strengths and weaknesses of deep learning models for face recognition against image degradations
Klemen Grm, Vitomir Štruc, Anais Artiges, Matthieu Caron, and Hazım K Ekenel · 2018
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Facial recognition is accurate, if you’re a white guy
S. Lohr · 2018
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Emerging from AI utopia
E. Santow · 2020
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https://github.com/zllrunning/face-parsing.PyTorch, last accessed on February 2021
2021
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img2pose: Face alignment and detection via 6dof, face pose estimation
Vítor Albiero, Xingyu Chen, Xi Yin, Guan Pang, and Tal Hassner · 2021
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Accuracy comparison across face recognition algorithms: Where are we on measuring race bias?
Jacqueline G. Cavazos, P. Jonathon Phillips, Carlos D. Castillo, and Alice J. O’Toole · 2021
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The watchlist imbalance effect in biometric face identification: Comparing theoretical estimates and empiric measurements
Pawel Drozdowski, Christian Rathgeb, and Christoph Busch · 2021
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Insightface: 2D and 3D face analysis project
Jia Guo · 2021
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R. Rothe, R. Timofte, and L. Van Gool · 2018
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Portrait quality (reference facial images for mrtd)
ISO/IEC JTC1 SC17 WG3 · 2018
Cited alongside, same era.
Bisenet: Bilateral segmentation network for real-time semantic segmentation
Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, and Nong Sang · 2018
Cited alongside, same era.
Demographic effects in facial recognition and their dependence on image acquisition: An evaluation of eleven commercial systems
Cynthia M Cook, John J Howard, Yevgeniy B Sirotin, Jerry L Tipton, and Arun R Vemury · 2019
Cited alongside, same era.
Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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‘racist and sexist’ facial recognition cameras could lead to false arrests, Dec. 20 2019
T. Hoggins · 2019
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An experimental evaluation of covariates effects on unconstrained face verification
Boyu Lu, Jun-Cheng Chen, Carlos D. Castillo, and Rama Chellappa · 2019
Cited alongside, same era.
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Reliability and validity of image-based and self-reported skin phenotype metrics
John J. Howard, Yevgeniy B. Sirotin, Jerry L. Tipton, and Arun R. Vemury · 2021
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Face image quality assessment: A literature survey
Torsten Schlett, Christian Rathgeb, Olaf Henniger, Javier Galbally, Julian Fierrez, and Christoph Busch · 2021
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Pixel-level face image quality assessment for explainable face recognition
Philipp Terhörst, Marco Huber, Naser Damer, Florian Kirchbuchner, Kiran Raja, and Arjan Kuijper · 2021
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A comprehensive study on face recognition biases beyond demographics
Philipp Terhörst, Jan Niklas Kolf, Marco Huber, Florian Kirchbuchner, Naser Damer, Aythami Morales, Julian Fierrez, and Arjan Kuijper · 2021
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Webface260m: A benchmark unveiling the power of million-scale deep face recognition
Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, et al · 2021
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Gendered differences in face recognition accuracy explained by hairstyles, makeup, and facial morphology
Vítor Albiero, Kai Zhang, Michael C. King, and Kevin W. Bowyer · 2022
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Deep face recognition for dim images
Yu-Hsuan Huang and Homer H Chen · 2022
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The gender gap in face recognition accuracy is a hairy problem
Aman Bhatta, Vítor Albiero, Kevin W Bowyer, and Michael C King · 2023
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Logical consistency and greater descriptive power for facial hair attribute learning
Haiyu Wu, Grace Bezold, Aman Bhatta, and Kevin W Bowyer · 2023
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