5.3.10.4 Face Image Quality

Chapter Contents (Back)
Image Quality. Face Image. 2404

See also Face Analysis, General Papers, Surveys.

Chen, J.S.[Jian-Sheng], Deng, Y.[Yu], Bai, G.C.[Gao-Cheng], Su, G.D.[Guang-Da],
Face Image Quality Assessment Based on Learning to Rank,
SPLetters(22), No. 1, January 2015, pp. 90-94.
IEEE DOI 1410
face recognition BibRef

Fu, B.Y.[Bi-Ying], Damer, N.[Naser],
Face morphing attacks and face image quality: The effect of morphing and the unsupervised attack detection by quality,
IET-Bio(11), No. 5, 2022, pp. 359-382.
DOI Link 2210
BibRef

Liu, T.[Tie], Li, S.X.[Sheng-Xi], Xu, M.[Mai], Yang, L.[Li], Wang, X.F.[Xiao-Fei],
Assessing Face Image Quality: A Large-Scale Database and a Transformer Method,
PAMI(46), No. 5, May 2024, pp. 3981-4000.
IEEE DOI 2404
Face recognition, Distortion, Databases, Image quality, Quality assessment, Feature extraction, Transformers, transformer BibRef

Su, S.[Shaolin], Lin, H.[Hanhe], Hosu, V.[Vlad], Wiedemann, O.[Oliver], Sun, J.Q.[Jin-Qiu], Zhu, Y.[Yu], Liu, H.T.[Han-Tao], Zhang, Y.N.[Yan-Ning], Saupe, D.[Dietmar],
Going the Extra Mile in Face Image Quality Assessment: A Novel Database and Model,
MultMed(26), 2024, pp. 2671-2685.
IEEE DOI 2402
Face recognition, Faces, Image quality, Task analysis, Predictive models, Databases, Codes, Image quality assessment, generative priors BibRef

Yue, G.H.[Guang-Hui], Wu, H.[Honglv], Jiang, Q.P.[Qiu-Ping], Zhou, T.W.[Tian-Wei], Yan, W.Q.[Wei-Qing], Wang, T.F.[Tian-Fu],
Perceptual Quality Assessment of Retouched Face Images,
MultMed(26), 2024, pp. 5741-5752.
IEEE DOI 2404
Radio frequency, Task analysis, Feature extraction, Distortion, Face recognition, Quality assessment, Visualization, multi-task learning BibRef


Aravena, C.[Carlos], Pasmiño, D.[Diego], Tapia, J.[Juan], Busch, C.[Christoph],
Face Image Quality Estimation on Presentation Attack Detection,
CIARP23(I:358-373).
Springer DOI 2312
BibRef

Boutros, F.[Fadi], Fang, M.L.[Mei-Ling], Klemt, M.[Marcel], Fu, B.[Biying], Damer, N.[Naser],
CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability,
CVPR23(5836-5845)
IEEE DOI 2309
BibRef

Najafzadeh, N.[Nima], Kashiani, H.[Hossein], Saadabadi, M.S.E.[Mohammad Saeed Ebrahimi], Talemi, N.A.[Niloufar Alipour], Malakshan, S.R.[Sahar Rahimi], Nasrabadi, N.M.[Nasser M.],
Face Image Quality Vector Assessment for Biometrics Applications,
VAQuality23(511-520)
IEEE DOI 2302
Image quality, Face recognition, Neural networks, Lighting, Multitasking, Convolutional neural networks, Task analysis BibRef

Ou, F.Z.[Fu-Zhao], Chen, B.[Baoliang], Li, C.Y.[Chong-Yi], Wang, S.Q.[Shi-Qi], Kwong, S.[Sam],
Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment,
ICCV23(20661-20672)
IEEE DOI 2401
BibRef

Fu, B.Y.[Bi-Ying], Damer, N.[Naser],
Explainability of the Implications of Supervised and Unsupervised Face Image Quality Estimations Through Activation Map Variation Analyses in Face Recognition Models,
Explain-Bio22(349-358)
IEEE DOI 2202
Image quality, Degradation, Analytical models, Visualization, Limiting, Face recognition, Conferences BibRef

Babnik, Ž.[Žiga], Peer, P.[Peter], Štruc, V.[Vitomir],
FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration,
ICPR22(748-754)
IEEE DOI 2212
Image quality, Deep learning, Analytical models, Image recognition, Face recognition, Computational modeling, Source coding BibRef

Ou, F.Z.[Fu-Zhao], Chen, X.Y.[Xing-Yu], Zhang, R.X.[Rui-Xin], Huang, Y.[Yuge], Li, S.X.[Shao-Xin], Li, J.L.[Ji-Lin], Li, Y.[Yong], Cao, L.J.[Liu-Juan], Wang, Y.G.[Yuan-Gen],
SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance,
CVPR21(7666-7675)
IEEE DOI 2111
Image quality, Training, Measurement, Image recognition, Uncertainty, Face recognition BibRef

Chen, K.[Ken], Wu, Y.C.[Yi-Chao], Li, Z.M.[Zhen-Mao], Wu, Y.D.[Yu-Dong], Liang, D.[Ding],
Face Image Quality Assessment for Model and Human Perception,
ICPR21(3003-3010)
IEEE DOI 2105
Training, Image quality, Adaptation models, Systematics, Target recognition, Face recognition, Benchmark testing BibRef

Hernandez-Ortega, J.[Javier], Fierrez, J.[Julian], Serna, I.[Ignacio], Morales, A.[Aythami],
FaceQgen: Semi-Supervised Deep Learning for Face Image Quality Assessment,
FG21(1-8)
IEEE DOI 2303
Training, Q-factor, Databases, Face recognition, Sociology, Estimation, Generative adversarial networks BibRef

Fu, B.Y.[Bi-Ying], Kirchbuchner, F.[Florian], Damer, N.[Naser],
The Effect of Wearing a Face Mask on Face Image Quality,
FG4COVID19-21(1-8)
IEEE DOI 2303
Image quality, COVID-19, Visualization, Databases, Face recognition, Neural networks, Collaboration BibRef

Long, J.F.[Jian-Feng], Li, S.T.[Shu-Tao],
Near Infrared Face Image Quality Assessment System of Video Sequences,
ICIG11(275-279).
IEEE DOI 1109
BibRef

Yermakov, A.[Andrii], Franc, V.[Vojtech],
CNN Based Predictor of Face Image Quality,
MOI2QDN20(679-693).
Springer DOI 2103
BibRef

Terhörst, P., Kolf, J.N., Damer, N., Kirchbuchner, F., Kuijper, A.,
SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness,
CVPR20(5650-5659)
IEEE DOI 2008
Face, Face recognition, Robustness, Image quality, Stochastic processes, Quality assessment, Measurement BibRef

Sang, J.[Jitao], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Face Image Quality Evaluation for ISO/IEC Standards 19794-5 and 29794-5,
ICB09(229-238).
Springer DOI 0906
BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Screen Content Image Quality Evaluation .


Last update:Apr 27, 2024 at 11:46:35