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1406
Accuracy
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1601
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1604
face recognition
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1605
face recognition
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Panis, G.,
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1606
age issues
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FG15(1-6)
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1508
age issues
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Shu, X.B.[Xiang-Bo],
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PR(59), No. 1, 2016, pp. 156-167.
Elsevier DOI
1609
Age progression
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Shu, X.B.[Xiang-Bo],
Tang, J.H.[Jin-Hui],
Lai, H.J.[Han-Jiang],
Liu, L.,
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Personalized Age Progression with Aging Dictionary,
ICCV15(3970-3978)
IEEE DOI
1602
Aging
BibRef
Frimenko, R.,
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Predictive ability of anthropomorphic metrics in determining age and
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IET-Bio(5), No. 3, 2016, pp. 181-189.
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1609
image classification
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IET-CV(11), No. 1, February 2017, pp. 78-86.
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1703
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Li, H.,
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Hu, H.F.[Hai-Feng],
Modified Hidden Factor Analysis for Cross-Age Face Recognition,
SPLetters(24), No. 4, April 2017, pp. 465-469.
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1704
face recognition
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Zou, H.S.[Hao-Shan],
Hu, H.F.[Hai-Feng],
Cross-age face recognition using reference coding with kernel direct
discriminant analysis,
ICIP17(3810-3814)
IEEE DOI
1803
Encoding, Face, Face recognition, Feature extraction, Kernel,
Principal component analysis, Probes
BibRef
Du, L.S.[Ling-Shuang],
Hu, H.F.[Hai-Feng],
Wu, Y.B.[Yong-Bo],
Age Factor Removal Network Based on Transfer Learning and Adversarial
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CirSysVideo(30), No. 9, September 2020, pp. 2830-2842.
IEEE DOI
2009
Feature extraction, Aging, Face recognition, Task analysis, Face,
Generators, Databases, Age factor removal network,
cross-age face recognition
See also Dual Face Alignment Learning Network for NIR-VIS Face Recognition.
BibRef
Wu, Y.B.[Yong-Bo],
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Hu, H.F.[Hai-Feng],
Parallel Multi-Path Age Distinguish Network for Cross-Age Face
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CirSysVideo(31), No. 9, September 2021, pp. 3482-3492.
IEEE DOI
2109
Face recognition, Aging, Feature extraction, Training, Task analysis,
Facial features, Computational modeling,
cross-age face recognition
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Huang, Y.J.[Yang-Jian],
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Age-Puzzle FaceNet for Cross-Age Face Recognition,
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Springer DOI
1906
BibRef
Bianco, S.[Simone],
Large Age-Gap face verification by feature injection in deep networks,
PRL(90), No. 1, 2017, pp. 36-42.
Elsevier DOI
1704
Face verification
BibRef
Farazdaghi, E.[Elham],
Nait-Ali, A.[Amine],
Backward face ageing model (B-FAM) for digital face image rejuvenation,
IET-Bio(6), No. 6, November 2017, pp. 478-486.
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1711
BibRef
Best-Rowden, L.,
Jain, A.K.,
Longitudinal Study of Automatic Face Recognition,
PAMI(40), No. 1, January 2018, pp. 148-162.
IEEE DOI
1712
Aging, Databases, Face, Face recognition, Iris recognition,
Low earth orbit satellites, Market research, Face recognition,
random effects
BibRef
Deb, D.,
Best-Rowden, L.,
Jain, A.K.,
Face Recognition Performance under Aging,
Biometrics17(548-556)
IEEE DOI
1709
Aging, Face, Face recognition, Market research, Mathematical model,
Probes, Sociology
BibRef
Li, Y.[Ya],
Wang, G.R.[Guang-Run],
Nie, L.[Lin],
Wang, Q.[Qing],
Tan, W.W.[Wen-Wei],
Distance metric optimization driven convolutional neural network for
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PR(75), No. 1, 2018, pp. 51-62.
Elsevier DOI
1712
Age invariant
BibRef
Zhou, H.L.[Hui-Ling],
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Age-invariant face recognition based on identity inference from
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PR(76), No. 1, 2018, pp. 191-202.
Elsevier DOI
1801
Age-invariant
BibRef
Lee, J.[Jaeil],
Jeon, I.[Inkyung],
Kwon, H.[Hyukjin],
Shin, D.I.[Dong-Il],
Shin, D.K.[Dong-Kyoo],
Real-time adult authentication scheme for digital contents using X.509
certificate in ubiquitous Web environment,
RealTimeIP(14), No. 1, January 2018, pp. 237-244.
Springer DOI
1802
BibRef
And:
Erratum:
RealTimeIP(16), No. 5, October 2019, pp. 1883.
Springer DOI
1911
BibRef
Zhang, S.C.[Sheng-Chuan],
Ji, R.R.[Rong-Rong],
Cai, L.[Ling],
Gao, X.B.[Xin-Bo],
Face sketch aging via aging oriented principal component analysis,
PRL(109), 2018, pp. 65-71.
Elsevier DOI
1806
Face sketch aging, Principal component analysis, Face aging
BibRef
Wang, W.[Wei],
Yan, Y.[Yan],
Cui, Z.[Zhen],
Feng, J.S.[Jia-Shi],
Yan, S.C.[Shui-Cheng],
Sebe, N.[Nicu],
Recurrent Face Aging with Hierarchical AutoRegressive Memory,
PAMI(41), No. 3, March 2019, pp. 654-668.
IEEE DOI
1902
Face, Aging, Prototypes, Image reconstruction,
Computational modeling, Optical imaging, Adaptive optics,
autoencoder
BibRef
Wang, W.[Wei],
Cui, Z.[Zhen],
Yan, Y.[Yan],
Feng, J.S.[Jia-Shi],
Yan, S.C.[Shui-Cheng],
Shu, X.,
Sebe, N.[Nicu],
Recurrent Face Aging,
CVPR16(2378-2386)
IEEE DOI
1612
BibRef
Zhao, J.[Jian],
Yan, S.C.[Shui-Cheng],
Feng, J.S.[Jia-Shi],
Towards Age-Invariant Face Recognition,
PAMI(44), No. 1, January 2022, pp. 474-487.
IEEE DOI
2112
Face, Face recognition, Aging, Benchmark testing, Training,
Feature extraction, Robustness, Age-invariant face recognition,
benchmark dataset
BibRef
Singh, M.[Maneet],
Nagpal, S.[Shruti],
Vatsa, M.[Mayank],
Singh, R.[Richa],
Are you eligible? Predicting adulthood from face images via Class
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Elsevier DOI
1902
Adulthood prediction, Supervised autoencoder, Face analysis
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wu, S.F.[Shi-Feng],
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Effect of subject's age and gender on face recognition results,
JVCIR(60), 2019, pp. 116-122.
Elsevier DOI
1903
Face recognition, Deep learning, Gender, Age
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Dornaika, F.,
Arganda-Carreras, I.,
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Age estimation in facial images through transfer learning,
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Ouafi, A.[Abdelkrim],
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Taleb-Ahmed, A.[Abdelmalik],
Two-stages based facial demographic attributes combination for age
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JVCIR(61), 2019, pp. 236-249.
Elsevier DOI
1906
Age estimation, Demographic classification, Feature extraction,
SVR, SVM
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Duong, C.N.[Chi Nhan],
Quach, K.G.[Kha Gia],
Luu, K.[Khoa],
Le, T.H.N.[T. Hoang Ngan],
Savvides, M.[Marios],
Bui, T.D.[Tien D.],
Learning from Longitudinal Face Demonstration:
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IJCV(127), No. 6-7, June 2019, pp. 957-971.
Springer DOI
1906
Generative modeling and reinforcement learning.
Subject-Dependent Deep Aging Path (SDAP).
BibRef
Shakeel, M.S.[M. Saad],
Lam, K.M.[Kin-Man],
Deep-feature encoding-based discriminative model for age-invariant
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PR(93), 2019, pp. 442-457.
Elsevier DOI
1906
Age-invariant face recognition,
Canonical correlation analysis, Deep learning,
Linear regression
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Shakeel, M.S.[M. Saad],
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Learning sparse discriminant low-rank features for low-resolution
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JVCIR(63), 2019, pp. 102590.
Elsevier DOI
1909
Face recognition, Feature fusion, Local features,
Low rank approximation, Linear regression, Sparse coding
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Cross-age face recognition, Feature encoding,
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1908
Generative adversarial learning, Age estimation, Regression
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Liu, K.,
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1909
Estimation, Feature extraction, Aging, Task analysis,
Neural networks, Support vector machines, Pediatrics, Age grouping,
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Elsevier DOI
1909
Recurrent age estimation (RAE),
Convolutional neural network (CNN),
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1909
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2311
BibRef
Shreve, M.,
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Matts, P.,
Region-wise Modeling of Facial Skin Age using Deep CNNs,
MVA19(1-6)
DOI Link
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face recognition, feature extraction, image classification,
learning (artificial intelligence), neural nets,
Feature extraction
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Pei, W.,
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IEEE DOI
1912
Estimation, Videos, Aging, Task analysis, Feature extraction,
Data models, Reliability, Age estimation, end-to-end, attention, facial dynamics
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Elsevier DOI
2005
Face recognition, Age-invariant face verification,
Representation learning, Generative adversarial network
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Yu, Y.F.[Yu-Feng],
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Discriminative common feature subspace learning for age-invariant face
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IET-Bio(9), No. 4, July 2020, pp. 136-142.
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2006
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Moustafa, A.A.[Amal A.],
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Springer DOI
2006
BibRef
Liu, H.,
Sun, P.,
Zhang, J.,
Wu, S.,
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Sun, X.,
Similarity-Aware and Variational Deep Adversarial Learning for Robust
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MultMed(22), No. 7, July 2020, pp. 1808-1822.
IEEE DOI
2007
Estimation, Training, Face, Aging, Measurement, Generators, Convergence,
Facial age estimation, deep learning,
biometrics
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Digital Humans on the Big Screen,
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2007
De-aged actors.
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Yang, C.[Chun],
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Elsevier DOI
2008
Face aging, Age estimation, Image-to-Image translation,
Age group classification, Subjective test
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Heravi, F.M.Z.[Farnaz Majid Zadeh],
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Elsevier DOI
1806
3D modeling, Face aging, Textured 3D mesh, Biometrics,
Anthropometry, Depth perception, Forensics
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Shi, C.L.[Cheng-Long],
Zhang, J.C.[Jia-Chao],
Yao, Y.Z.[Ya-Zhou],
Sun, Y.L.[Yun-Lian],
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Shu, X.B.[Xiang-Bo],
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1806
GAN, Face aging synthesis, Normalization layer
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Yang, H.Y.[Hong-Yu],
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IEEE DOI
2101
BibRef
Earlier:
Learning Face Age Progression: A Pyramid Architecture of GANs,
CVPR18(31-39)
IEEE DOI
1812
Face, Aging, Training, Databases, Computational modeling,
Generative adversarial networks,
age estimation.
Senior citizens, Generators.
BibRef
Shen, W.[Wei],
Guo, Y.L.[Yi-Lu],
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Deep Differentiable Random Forests for Age Estimation,
PAMI(43), No. 2, February 2021, pp. 404-419.
IEEE DOI
2101
BibRef
Earlier:
Deep Regression Forests for Age Estimation,
CVPR18(2304-2313)
IEEE DOI
1812
Estimation, Nonhomogeneous media, Aging,
Facial features, Age estimation, random forest, regression,
deterministic annealing.
Regression tree analysis, Nonhomogeneous media, Face
BibRef
Huang, Y.,
Hu, H.,
A Parallel Architecture of Age Adversarial Convolutional Neural
Network for Cross-Age Face Recognition,
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IEEE DOI
2101
Face recognition, Feature extraction, Face, Aging, Training,
Task analysis, Cross-age face recognition,
generative adversarial network
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Liu, L.[Lu],
Yu, H.B.[Hai-Bo],
Wang, S.[Shenghui],
Wan, L.[Lili],
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Learning shape and texture progression for young child face aging,
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Elsevier DOI
2103
Face aging, Geometry deformation, Textural Variation,
Generative Adversarial Network, Image translation
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Wang, H.Y.[Hao-Yi],
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Li, C.T.[Chang-Tsun],
Age-Oriented Face Synthesis With Conditional Discriminator Pool and
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IP(30), 2021, pp. 5413-5425.
IEEE DOI
2106
Faces, Generators, Generative adversarial networks, Task analysis,
Aging, Training, Games, Age-oriented face synthesis,
triplet loss
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Du, L.S.[Ling-Shuang],
Hu, H.F.[Hai-Feng],
Cross-Age Identity Difference Analysis Model Based on Image Pairs for
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IEEE DOI
2107
Faces, Feature extraction, Face recognition, Aging,
Analytical models, Task analysis, Computational modeling,
cross-age verification network
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Alonso-Fernandez, F.[Fernando],
Hernandez-Diaz, K.[Kevin],
Ramis, S.[Silvia],
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2109
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Lin, L.E.[Lu En],
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DOI Link
2110
BibRef
Wang, H.Y.[Hao-Yi],
Sanchez, V.[Victor],
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Improving Face-Based Age Estimation With Attention-Based Dynamic
Patch Fusion,
IP(31), 2022, pp. 1084-1096.
IEEE DOI
2201
Feature extraction, Estimation, Convolutional neural networks,
Training, Task analysis, Faces, Facial features, Age estimation,
feature fusion
BibRef
Wang, H.Y.[Hao-Yi],
Wei, X.,
Sanchez, V.[Victor],
Li, C.T.[Chang-Tsun],
Fusion Network for Face-Based Age Estimation,
ICIP18(2675-2679)
IEEE DOI
1809
Estimation, Feature extraction, Training, Benchmark testing,
Convolutional neural networks, Computer architecture,
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Dhamija, A.[Ashutosh],
Dubey, R.B.,
A novel active shape model-based DeepNeural network for age
invariance face recognition,
JVCIR(82), 2022, pp. 103393.
Elsevier DOI
2201
Age invariance face recognition, CNN architecture,
Improved Active shape model, Handcrafted and deep features,
The features reduction
BibRef
Song, J.K.[Jing-Kuan],
Zhang, J.Q.[Jing-Qiu],
Gao, L.L.[Lian-Li],
Zhao, Z.[Zhou],
Shen, H.T.[Heng Tao],
AgeGAN++: Face Aging and Rejuvenation With Dual Conditional GANs,
MultMed(24), 2022, pp. 791-804.
IEEE DOI
2202
Faces, Aging, Generative adversarial networks, Training,
Image reconstruction, Prototypes, Adversarial learning,
face aging and rejuvenation
BibRef
Liu, L.[Lu],
Wang, S.[Shenghui],
Wan, L.[Lili],
Yu, H.B.[Hai-Bo],
Multimodal face aging framework via learning disentangled
representation,
JVCIR(83), 2022, pp. 103452.
Elsevier DOI
2202
Face aging, Disentangled representation,
Variational auto-encoder, KL divergence, Generative adversarial network
BibRef
Duan, M.X.[Ming-Xing],
Li, K.[Kenli],
Liao, Q.[Qing],
Tian, Q.[Qi],
DEF-Net: A Face Aging Model by Using Different Emotional Learnings,
CirSysVideo(32), No. 5, May 2022, pp. 3012-3022.
IEEE DOI
2205
Faces, Aging, Generative adversarial networks, Training,
Image reconstruction, Task analysis, Shape, Age-net, emotion-net,
loss functions
BibRef
Chandaliya, P.K.[Praveen Kumar],
Nain, N.[Neeta],
ChildGAN: Face aging and rejuvenation to find missing children,
PR(129), 2022, pp. 108761.
Elsevier DOI
2206
Child face aging and rejuvenation, Child datasets,
Face recognition, Age estimation, Gender preservation, Child trafficking
BibRef
Wu, Y.Q.[Yi-Qiang],
Wang, R.X.[Ru-Xin],
Gong, M.M.[Ming-Ming],
Cheng, J.[Jun],
Yu, Z.T.[Zheng-Tao],
Tao, D.P.[Da-Peng],
Adversarial UV-Transformation Texture Estimation for 3D Face Aging,
CirSysVideo(32), No. 7, July 2022, pp. 4338-4350.
IEEE DOI
2207
Aging, Faces, Training, Task analysis, Solid modeling,
Rendering (computer graphics), 3D face aging, uv-transformation, deep learning
BibRef
Li, X.Q.[Xiao-Qiang],
Guo, C.[Chengyu],
Wu, Y.F.[Yi-Fan],
Zhu, C.C.[Cong-Cong],
Li, J.[Jide],
Robust age estimation model using group-aware contrastive learning,
IET-IPR(16), No. 12, 2022, pp. 3201-3211.
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2209
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Shao, J.[Jun],
Bui, T.D.[Tien D.],
Wavelet-based multi-level generative adversarial networks for face
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CVIU(223), 2022, pp. 103524.
Elsevier DOI
2210
Face aging, multi-level GANs, Wavelet packet transform
BibRef
Duong, C.N.[Chi Nhan],
Luu, K.[Khoa],
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Nguyen, N.[Nghia],
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Bui, T.D.[Tien D.],
Le, N.[Ngan],
Automatic Face Aging in Videos via Deep Reinforcement Learning,
CVPR19(10005-10014).
IEEE DOI
2002
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Huber, M.[Marco],
Terhörst, P.[Philipp],
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Kirchbuchner, F.[Florian],
Damer, N.[Naser],
Verification of Sitter Identity Across Historical Portrait Paintings
by Confidence-aware Face Recognition,
ICPR22(938-944)
IEEE DOI
2212
Art, Databases, Fuses, Face recognition, Computational modeling,
Transfer learning, Estimation
BibRef
Hou, X.X.[Xian-Xu],
Zhang, X.K.[Xiao-Kang],
Liang, H.B.[Han-Bang],
Shen, L.L.[Lin-Lin],
Ming, Z.[Zhong],
Lifelong Age Transformation With a Deep Generative Prior,
MultMed(25), 2023, pp. 3125-3139.
IEEE DOI
2309
BibRef
Pu, N.[Nan],
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Lew, M.S.[Michael S.],
A Memorizing and Generalizing Framework for Lifelong Person
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IEEE DOI
2310
BibRef
Lin, L.[Ling],
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Liang, J.Q.[Jin-Qiao],
Li, Z.D.[Zhen-Dong],
Feng, J.[Jiao],
Han, H.[Hu],
Consensus-Agent Deep Reinforcement Learning for Face Aging,
IP(33), 2024, pp. 1795-1809.
IEEE DOI
2403
Aging, Faces, Face recognition, Feature extraction, Hair,
Deep reinforcement learning, Task analysis, Face aging,
Markov decision process
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Guo, Y.C.[Ying-Chun],
Li, M.Y.[Ming-Yuan],
Yan, G.[Gang],
Identity-Preserving Face Aging With Multi-Attribution Fusion and
Multi-Scale Attention,
SPLetters(31), 2024, pp. 1805-1809.
IEEE DOI
2408
Aging, Faces, Training, Feature extraction, Process control,
Image color analysis, Data mining, Face aging, multi-scale attention
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Kong, C.[Chang],
Luo, Q.[Qiuming],
Chen, G.L.[Guo-Liang],
RSFAD: A Large-Scale Real Scenario Face Age Dataset in the wild,
FG21(1-7)
IEEE DOI
2303
Training, Visualization, Face recognition,
Surveillance, Estimation, Gesture recognition
BibRef
Jannat, S.K.R.[S.K. Rahatul],
Canavan, S.[Shaun],
Expression Recognition Across Age,
FG21(1-5)
IEEE DOI
2303
Pediatrics, Face recognition, Semantics,
Entertainment industry, Gesture recognition, Security
BibRef
Gomez-Trenado, G.[Guillermo],
Lathuilière, S.[Stéphane],
Mesejo, P.[Pablo],
Cordón, Ó.[Óscar],
Custom Structure Preservation in Face Aging,
ECCV22(XVI:565-580).
Springer DOI
2211
BibRef
Hsu, G.S.[Gee-Sern],
Xie, R.C.[Rui-Cang],
Chen, Z.T.[Zhi-Ting],
Lin, Y.H.[Yu-Hong],
AgeTransGAN for Facial Age Transformation with Rectified Performance
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ECCV22(XII:580-595).
Springer DOI
2211
BibRef
Abdulabas, M.H.[Marem H.],
Al-Shakarchy, N.D.[Noor D.],
Face information forensics analysis based on facial aging: A Survey,
ISCV22(1-7)
IEEE DOI
2208
Visualization, Law enforcement, Face recognition, Forensics,
Machine vision, Production, Aging, Age-invariant, Facial image, GAN
BibRef
Huang, X.[Xin],
Gong, M.L.[Ming-Lun],
Landmark-Guided Conditional GANs for Face Aging,
CIAP22(I:270-283).
Springer DOI
2205
BibRef
Hou, X.[Xuege],
Li, Y.[Yali],
Wang, S.J.[Sheng-Jin],
Disentangled Representation for Age-Invariant Face Recognition:
A Mutual Information Minimization Perspective,
ICCV21(3672-3681)
IEEE DOI
2203
Representation learning, Measurement, Face recognition,
Benchmark testing, Aging, Minimization, Faces, Biometrics,
Representation learning
BibRef
He, S.[Sen],
Liao, W.T.[Wen-Tong],
Yang, M.Y.[Michael Ying],
Song, Y.Z.[Yi-Zhe],
Rosenhahn, B.[Bodo],
Xiang, T.[Tao],
Disentangled Lifespan Face Synthesis,
ICCV21(3857-3866)
IEEE DOI
2203
Codes, Shape, Convolution, Biological system modeling,
Computational modeling, Aging, Faces,
Image and video synthesis
BibRef
Makhmudkhujaev, F.[Farkhod],
Hong, S.[Sungeun],
Park, I.K.[In Kyu],
Re-Aging GAN: Toward Personalized Face Age Transformation,
ICCV21(3888-3897)
IEEE DOI
2203
Visualization, Face recognition, Aging, Reliability, Task analysis,
Visual perception, Faces, Image and video synthesis, Neural generative models
BibRef
Szasz, T.[Teodora],
Harrison, E.[Emileigh],
Liu, P.J.[Ping-Jung],
Lin, P.C.[Ping-Chang],
Runesha, H.B.[Hakizumwami Birali],
Adukia, A.[Anjali],
Measuring Representation of Race, Gender, and Age in Children's
Books: Face Detection and Feature Classification in Illustrated
Images,
WACV22(3371-3380)
IEEE DOI
2202
Deep learning, Visualization, Training data, Predictive models,
Feature extraction, Data models, Face detection,
Analysis and Understanding
BibRef
Islam, K.[Khawar],
Lee, S.[Sujin],
Han, D.I.[Dong-Il],
Moon, H.J.[Hyeon-Joon],
Face Recognition Using Shallow Age-Invariant Data,
IVCNZ21(1-6)
IEEE DOI
2201
Training, Measurement, Databases, Face recognition,
Computational modeling, Lighting
BibRef
Li, Z.[Zeqi],
Jiang, R.[Ruowei],
Aarabi, P.[Parham],
Continuous Face Aging via Self-estimated Residual Age Embedding,
CVPR21(15003-15012)
IEEE DOI
2111
Training, Face recognition, Estimation, Aging,
Generative adversarial networks, Generators
BibRef
Deb, D.[Debayan],
Aggarwal, D.[Divyansh],
Jain, A.K.[Anil K.],
Identifying Missing Children: Face Age-Progression via Deep Feature
Aging,
ICPR21(10540-10547)
IEEE DOI
2105
Image recognition, Face recognition, Aging
BibRef
Becerra-Riera, F.[Fabiola],
Morales-González, A.[Annette],
Méndez-Vázquez, H.[Heydi],
Dugelay, J.L.[Jean-Luc],
Attribute-based quality assessment for demographic estimation in face
videos,
ICPR21(5875-5882)
IEEE DOI
2105
Face recognition, Biological system modeling, Video sequences,
Pipelines, Estimation, Predictive models, Quality assessment
BibRef
Yadav, D.[Daksha],
Kohli, N.[Naman],
Vatsa, M.[Mayank],
Singh, R.[Richa],
Noore, A.[Afzel],
Age Gap Reducer-GAN for Recognizing Age-Separated Faces,
ICPR21(10090-10097)
IEEE DOI
2105
Training, Visualization, Image recognition, Face recognition,
Training data, Estimation, Aging
BibRef
Yao, X.[Xu],
Puy, G.[Gilles],
Newson, A.[Alasdair],
Gousseau, Y.[Yann],
Hellier, P.[Pierre],
High Resolution Face Age Editing,
ICPR21(8624-8631)
IEEE DOI
2105
Training, Photography, Visualization, Image resolution,
Face recognition, Modulation, Generative adversarial networks
BibRef
Song, J.[Jie],
Wei, P.[Ping],
Li, H.[Huan],
Zhang, Y.C.[Yong-Chi],
Zheng, N.N.[Nan-Ning],
Local-Global Interactive Network For Face Age Transformation,
ICPR21(9258-9264)
IEEE DOI
2105
Face recognition, Aging, Generators, Faces
BibRef
Liu, W.S.[Wen-Shuang],
Chen, W.T.[Wen-Ting],
Zhu, Y.L.[Yuan-Lue],
Shen, L.L.[Lin-Lin],
SATGAN: Augmenting Age Biased Dataset for Cross-Age Face Recognition,
ICPR21(1368-1375)
IEEE DOI
2105
Training, Face recognition, Generators
BibRef
Zeng, H.[Haien],
Lai, H.J.[Han-Jiang],
Controllable Face Aging,
ICPR21(931-938)
IEEE DOI
2105
Image color analysis, Face recognition, Process control, Aging,
Benchmark testing, Generative adversarial networks, Skin
BibRef
Li, P.P.[Pei-Pei],
Huang, H.B.[Huai-Bo],
Hu, Y.[Yibo],
Wu, X.[Xiang],
He, R.[Ran],
Sun, Z.A.[Zhen-An],
Hierarchical Face Aging Through Disentangled Latent Characteristics,
ECCV20(III:86-101).
Springer DOI
2012
BibRef
Or-El, R.[Roy],
Sengupta, S.[Soumyadip],
Fried, O.[Ohad],
Shechtman, E.[Eli],
Kemelmacher-Shlizerman, I.[Ira],
Lifespan Age Transformation Synthesis,
ECCV20(VI:739-755).
Springer DOI
2011
BibRef
Akinyemi, J.D.[Joseph Damilola],
Onifade, O.F.W.[Olufade Falade Williams],
Facial Age Estimation Using Compact Facial Features,
ICCVG20(1-12).
Springer DOI
2009
BibRef
Georgopoulos, M.,
Oldfield, J.,
Nicolaou, M.A.,
Panagakis, Y.,
Pantic, M.,
Enhancing Facial Data Diversity with Style-based Face Aging,
TCV20(66-74)
IEEE DOI
2008
Face, Aging, Generators, Training, Decoding, Data models, Task analysis
BibRef
Fang, H.,
Deng, W.,
Zhong, Y.,
Hu, J.,
Triple-GAN: Progressive Face Aging with Triple Translation Loss,
Biometrics20(3500-3509)
IEEE DOI
2008
Face, Aging, Generators, Machine learning, Training,
Generative adversarial networks
BibRef
Albiero, V.,
Bowyer, K.W.,
Vangara, K.,
King, M.C.,
Does Face Recognition Accuracy Get Better With Age? Deep Face
Matchers Say No,
WACV20(250-258)
IEEE DOI
2006
Face, Face recognition, Training data, Machine learning, Training,
Feature extraction, Aging
BibRef
Angeloni, M.,
de Freitas Pereira, R.,
Pedrini, H.,
Age Estimation From Facial Parts Using Compact Multi-Stream
Convolutional Neural Networks,
CEFRL19(3039-3045)
IEEE DOI
2004
ageing, biometrics (access control), convolutional neural nets,
face recognition, minors, human-computer interaction, multi stream
BibRef
Bodhe, S.,
Kapse, P.,
Singh, A.,
Real-Time Age-Invariant Face Recognition in Videos Using the
ScatterNet Inception Hybrid Network (SIHN),
RLQ19(1112-1120)
IEEE DOI
2004
age issues, face recognition, learning (artificial intelligence),
neural nets, video signal processing,
video
BibRef
Savov, N.,
Ngo, M.,
Karaoglu, S.[Sezer],
Dibeklioglu, H.,
Gevers, T.[Theo],
Pose and Expression Robust Age Estimation via 3D Face Reconstruction
from a Single Image,
HBU19(1270-1278)
IEEE DOI
2004
estimation theory, geometry, image reconstruction,
image representation, learning (artificial intelligence),
multi task learning
BibRef
Song, C.,
He, L.,
Yan, W.Q.,
Nand, P.,
An Improved Selective Facial Extraction Model for Age Estimation,
IVCNZ19(1-6)
IEEE DOI
2004
convolutional neural nets, face recognition, feature extraction,
learning (artificial intelligence), pattern classification,
soft stagewise regression network
BibRef
He, Z.,
Kan, M.,
Shan, S.,
Chen, X.,
S2GAN: Share Aging Factors Across Ages and Share Aging Trends Among
Individuals,
ICCV19(9439-9448)
IEEE DOI
2004
ageing, face recognition, image colour analysis, transforms,
natural aging, personalized aging basis, age-specific transforms, Prototypes
BibRef
Wang, H.[Hao],
Gong, D.H.[Di-Hong],
Li, Z.F.[Zhi-Feng],
Liu, W.[Wei],
Decorrelated Adversarial Learning for Age-Invariant Face Recognition,
CVPR19(3522-3531).
IEEE DOI
2002
BibRef
Genovese, A.,
Piuri, V.,
Scotti, F.,
Towards Explainable Face Aging with Generative Adversarial Networks,
ICIP19(3806-3810)
IEEE DOI
1910
GAN, Face aging, CNN, Deep Learning
BibRef
Hirasen, D.[Divyan],
Pillay, V.[Verosha],
Viriri, S.[Serestina],
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2108
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ICIAR19(II:243-254).
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1909
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Bayesian optimization for refining object proposals,
IPTA17(1-7)
IEEE DOI
1804
Bayes methods, feature extraction, feedforward neural nets,
image classification, image representation, object detection,
Object localization
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Zhang, Y.T.[Yu-Ting],
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Bayesian optimization and structured prediction,
CVPR15(249-258)
IEEE DOI
1510
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Hybrid Age Estimation Using Facial Images,
ICIAR15(239-246).
Springer DOI
1507
BibRef
Im, W.B.[Woo-Bin],
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Scale-Varying Triplet Ranking with Classification Loss for Facial Age
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ACCV18(V:247-259).
Springer DOI
1906
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Batool, N.[Nazre],
Walker, K.[Kevin],
Automated Facial Wrinkles Annotator,
WiCV-E18(IV:676-680).
Springer DOI
1905
BibRef
Ng, C.C.[Choon-Ching],
Yap, M.H.[Moi Hoon],
Costen, N.[Nicholas],
Li, B.H.[Bai-Hua],
Automatic Wrinkle Detection Using Hybrid Hessian Filter,
ACCV14(III: 609-622).
Springer DOI
1504
BibRef
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Jacobs, N.[Nathan],
A Generative Model of Worldwide Facial Appearance,
WACV19(1569-1578)
IEEE DOI
1904
Appearance and geographic location.
face recognition, human computer interaction,
neural net architecture, generative model, human appearance,
Computational modeling
BibRef
Ali Shah, S.A.,
Bennamoun, M.,
Molton, M.,
A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation,
IVCNZ18(1-6)
IEEE DOI
1902
Prediction algorithms,
Solid modeling, Predictive models, Training, Machine learning,
Machine Learning
BibRef
Ali Shah, S.A.,
Bennamoun, M.,
Molton, M.,
A Training-Free Mesh Upsampling and Morphing Technique for 3D Face
Rejuvuvenation,
IVCNZ18(1-6)
IEEE DOI
1902
Face, Task analysis, Prediction algorithms, Morphing
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Srinivas, N.,
Hivner, M.,
Gay, K.,
Atwal, H.,
King, M.,
Ricanek, K.,
Exploring Automatic Face Recognition on Match Performance and Gender
Bias for Children,
DVPBA19(107-115)
IEEE DOI
1902
Face, Face recognition, Pediatrics, Probes, Aging, NIST
BibRef
Jia, L.,
Song, Y.,
Zhang, Y.,
Face Aging with Improved Invertible Conditional GANs,
ICPR18(1396-1401)
IEEE DOI
1812
Face, Aging, Hair, Generative adversarial networks,
Image reconstruction, Optimization, Face Aging, GAN, feature vector,
optimization
BibRef
Tang, X.,
Wang, Z.,
Luo, W.,
Gao, S.,
Face Aging with Identity-Preserved Conditional Generative Adversarial
Networks,
CVPR18(7939-7947)
IEEE DOI
1812
Face, Aging, Generative adversarial networks,
Feature extraction, Task analysis, Training
BibRef
Palsson, S.,
Agustsson, E.,
Timofte, R.,
Van Gool, L.J.,
Generative Adversarial Style Transfer Networks for Face Aging,
AMFG18(2165-21658)
IEEE DOI
1812
Face, Aging, Training, Generators, Task analysis,
Generative adversarial networks
BibRef
Yadav, D.,
Kohli, N.,
Kalsi, E.,
Vatsa, M.,
Singh, R.,
Noore, A.,
Unraveling Human Perception of Facial Aging Using Eye Gaze,
AMFG18(2221-22217)
IEEE DOI
1812
Face, Task analysis, Estimation, Tracking, Aging, Visualization
BibRef
Li, K.,
Xing, J.,
Su, C.,
Hu, W.,
Zhang, Y.,
Maybank, S.J.,
Deep Cost-Sensitive and Order-Preserving Feature Learning for
Cross-Population Age Estimation,
CVPR18(399-408)
IEEE DOI
1812
Sociology, Statistics, Estimation, Face, Training, Training data, Aging
BibRef
Clapés, A.,
Anbarjafari, G.,
Bilici, O.,
Temirova, D.,
Avots, E.,
Escalera, S.,
From Apparent to Real Age: Gender, Age, Ethnic, Makeup, and
Expression Bias Analysis in Real Age Estimation,
Subjective18(2436-243609)
IEEE DOI
1812
Estimation, Databases, Visualization, Training, Aging,
Support vector machines
BibRef
Zhang, K.,
Liu, N.,
Yuan, X.,
Guo, X.,
Gao, C.,
Zhao, Z.,
Fine-Grained Age Group Classification in the wild,
ICPR18(788-793)
IEEE DOI
1812
Feature extraction, Estimation, Face, Training, Data models,
Task analysis, Benchmark testing
BibRef
Li, P.,
Hu, Y.,
Li, Q.,
He, R.,
Sun, Z.,
Global and Local Consistent Age Generative Adversarial Networks,
ICPR18(1073-1078)
IEEE DOI
1812
Face, Aging, Generators,
Generative adversarial networks, Training, Tensile stress
BibRef
Ji, Z.,
Lang, C.,
Li, K.,
Xing, J.,
Deep Age Estimation Model Stabilization from Images to Videos,
ICPR18(1420-1425)
IEEE DOI
1812
Estimation, Videos, Feature extraction, Computational modeling, Face,
Facial features, Adaptation models
BibRef
Yuan, B.,
Wu, A.,
Zheng, W.,
Does A Body Image Tell Age?,
ICPR18(2142-2147)
IEEE DOI
1812
Face, Estimation, Feature extraction, Visualization, Hair
BibRef
Niu, X.S.[Xue-Song],
Han, H.[Hu],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
VIPL-HR: A Multi-modal Database for Pulse Estimation from
Less-Constrained Face Video,
ACCV18(V:562-576).
Springer DOI
1906
BibRef
Pan, H.,
Han, H.[Hu],
Shan, S.G.[Shi-Guang],
Chen, X.L.[Xi-Lin],
Revised Contrastive Loss for Robust Age Estimation from Face,
ICPR18(3586-3591)
IEEE DOI
1812
BibRef
Earlier:
Mean-Variance Loss for Deep Age Estimation from a Face,
CVPR18(5285-5294)
IEEE DOI
1812
Face, Estimation, Feature extraction, Databases, Task analysis,
Training, Protocols. Estimation, Task analysis
BibRef
Heljakka, A.[Ari],
Solin, A.[Arno],
Kannala, J.H.[Ju-Ho],
Recursive Chaining of Reversible Image-to-Image Translators for Face
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ACIVS18(309-320).
Springer DOI
1810
BibRef
Yu, J.,
Jing, L.,
A Joint Multi-Task CNN for Cross-Age Face Recognition,
ICIP18(2411-2415)
IEEE DOI
1809
Task analysis, Face, Face recognition, Feature extraction, Aging,
Convolutional neural networks, Cross-age face recognition,
convolutional neural network
BibRef
Lee, S.S.,
Kim, H.G.,
Kim, K.,
Ro, Y.M.,
Adversarial Spatial Frequency Domain Critic Learning for Age and
Gender Classification,
ICIP18(2032-2036)
IEEE DOI
1809
Frequency-domain analysis, Face, Generators, Task analysis,
Machine learning, Training, Estimation, Deep learning,
and spatial frequency band for age and gender
BibRef
Zhang, A.T.,
Le Meur, B.O.,
How Old Do You Look? Inferring Your Age from Your Gaze,
ICIP18(2660-2664)
IEEE DOI
1809
Visualization, Training, Observers, Convolution, Testing,
Feature extraction, Kernel, age inference, scanpath, deep network
BibRef
Cao, Q.,
Shen, L.,
Xie, W.,
Parkhi, O.M.,
Zisserman, A.,
VGGFace2: A Dataset for Recognising Faces across Pose and Age,
FG18(67-74)
IEEE DOI
1806
Benchmark testing, Face, Face recognition, Google, Manuals, Training,
Videos, convolutional neural networks, face dataset, face recognition
BibRef
Antipov, G.,
Baccouche, M.,
Dugelay, J.L.,
Face aging with conditional generative adversarial networks,
ICIP17(2089-2093)
IEEE DOI
1803
Aging, Face, Face recognition, Generators,
Image reconstruction, Optimization, Deep Learning, Face Aging,
GAN
BibRef
Zhang, A.K.,
Guo, B.L.,
Gao, C.C.,
Zhao, D.Z.,
Sun, E.M.,
Yuan, F.X.,
Age group classification in the wild with deep RoR architecture,
ICIP17(1587-1591)
IEEE DOI
1803
Aging, Benchmark testing, Estimation, Face, Manuals, Optimization,
Standards, Age group classification, Pretraining, RoR, Weighted loss
BibRef
Duong, C.N.,
Quach, K.G.,
Luu, K.,
Le, T.H.N.,
Savvides, M.,
Temporal Non-volume Preserving Approach to Facial Age-Progression and
Age-Invariant Face Recognition,
ICCV17(3755-3763)
IEEE DOI
1802
Boltzmann machines, ageing, convolution, estimation theory,
face recognition, image capture, image segmentation,
Solid modeling
BibRef
Hajibabaei, M.,
Volokitin, A.,
Timofte, R.,
Early Adaptation of Deep Priors in Age Prediction from Face Images,
AMFG17(1639-1647)
IEEE DOI
1802
Adaptation models, Analytical models, Computational modeling,
Data models, Face, Training
BibRef
Zhang, Z.F.[Zhi-Fei],
Song, Y.[Yang],
Qi, H.R.[Hai-Rong],
Age Progression/Regression by Conditional Adversarial Autoencoder,
CVPR17(4352-4360)
IEEE DOI
1711
Aging, Biological system modeling, Face, Generators,
Manifolds, Training
BibRef
Zhang, Z.F.[Zhi-Fei],
Song, Y.[Yang],
Qi, H.R.[Hai-Rong],
Decoupled Learning for Conditional Adversarial Networks,
WACV18(700-708)
IEEE DOI
1806
backpropagation, decoding, image coding, image reconstruction,
learning (artificial intelligence), adversarial loss,
Training
BibRef
Song, Y.[Yang],
Zhang, Z.F.[Zhi-Fei],
Liu, L.[Liu],
Rahimpour, A.[Alireza],
Qi, H.R.[Hai-Rong],
Dictionary Reduction:
Automatic Compact Dictionary Learning for Classification,
ACCV16(I: 305-320).
Springer DOI
1704
BibRef
Moschoglou, S.,
Papaioannou, A.,
Sagonas, C.,
Deng, J.K.[Jian-Kang],
Kotsia, I.,
Zafeiriou, S.P.[Stefanos P.],
AgeDB: The First Manually Collected, In-the-Wild Age Database,
FaceWild17(1997-2005)
IEEE DOI
1709
Dataset, Face Age. Databases, Estimation, Face, Face recognition,
Machine learning, Protocols
BibRef
Wang, X.,
Zhou, Y.,
Kong, D.,
Currey, J.,
Li, D.,
Zhou, J.,
Unleash the Black Magic in Age: A Multi-Task Deep Neural Network
Approach for Cross-Age Face Verification,
FG17(596-603)
IEEE DOI
1707
Aging, Estimation, Face, Face recognition, Neural networks, Pipelines, Shape
BibRef
Sagonas, C.,
Panagakis, Y.,
Arunkumar, S.,
Ratha, N.,
Zafeiriou, S.P.,
Back to the future: A fully automatic method for robust age
progression,
ICPR16(4226-4231)
IEEE DOI
1705
Computational modeling, Face, Lighting, Robustness, Shape, Training
BibRef
Zhu, L.N.[Lin-Nan],
Wang, K.[Keze],
Lin, L.[Liang],
Zhang, L.[Lei],
Learning a lightweight deep convolutional network for joint age and
gender recognition,
ICPR16(3282-3287)
IEEE DOI
1705
Convolution, Face, Face recognition, Feature extraction,
Image recognition, Network architecture, Visualization
BibRef
Tang, K.[Kaihua],
Kamata, S.I.[Sei-Ichiro],
Hou, X.N.[Xiao-Nan],
Ding, S.H.[Shou-Hong],
Ma, L.Z.[Li-Zhuang],
Eigen-Aging Reference Coding for Cross-Age Face Verification and
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ACCV16(III: 389-403).
Springer DOI
1704
BibRef
Alvi, F.B.,
Pears, R.,
Use of spatio-temporal modeling for age invariant face recognition,
ICVNZ15(1-6)
IEEE DOI
1701
face recognition
BibRef
Báez-Suárez, A.,
Nikou, C.,
Nolazco-Flores, J.A.,
Kakadiaris, I.A.,
Age Classification from Facial Images: Is Frontalization Necessary?,
ISVC16(I: 769-778).
Springer DOI
1701
BibRef
Wei, L.F.[Li-Fang],
Hu, S.[Shunbo],
Gao, Y.Z.[Yao-Zong],
Cao, X.H.[Xiao-Huan],
Wu, G.R.[Guo-Rong],
Shen, D.G.[Ding-Gang],
Learning Appearance and Shape Evolution for Infant Image Registration
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MLMI16(36-44).
Springer DOI
1611
BibRef
Salem, T.,
Workman, S.,
Zhai, M.,
Jacobs, N.,
Analyzing human appearance as a cue for dating images,
WACV16(1-8)
IEEE DOI
1606
Face
BibRef
Qiu, J.,
Dai, Y.,
Zhang, Y.,
Alvarez, J.M.,
Hierarchical Aggregation Based Deep Aging Feature for Age Prediction,
DICTA15(1-5)
IEEE DOI
1603
face recognition
BibRef
Gibson, K.L.[Katherine L.],
Smith, J.M.[Jonathan M.],
The emperor's new masks: On demographic differences and disguises,
Biometrics15(57-64)
IEEE DOI
1510
Databases; Eyebrows; Face; Face recognition; Lenses; Sociology; Statistics
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Levi, G.[Gil],
Hassncer, T.[Tal],
Age and gender classification using convolutional neural networks,
AMFG15(34-42)
IEEE DOI
1510
Benchmark testing
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Azarmehr, R.[Ramin],
Laganiere, R.[Robert],
Lee, W.S.[Won-Sook],
Xu, C.[Christina],
Laroche, D.[Daniel],
Real-time embedded age and gender classification in unconstrained
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ECVW15(56-64)
IEEE DOI
1510
Face
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Du, L.[Liang],
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Cross-age face verification by coordinating with cross-face age
verification,
CVPR15(2329-2338)
IEEE DOI
1510
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Ren, H.Y.[Hao-Yu],
Li, Z.N.[Ze-Nian],
Gender Recognition Using Complexity-Aware Local Features,
ICPR14(2389-2394)
IEEE DOI
1412
Accuracy
See also Age Estimation Based on Complexity-Aware Features.
See also Object Detection Using Generalization and Efficiency Balanced Co-Occurrence Features.
BibRef
Brenner, M.[Markus],
Avraham, T.[Tamar],
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Izquierdo, E.[Ebroul],
Temporal face embedding and propagation in photo collections,
ICIP14(6036-6040)
IEEE DOI
1502
Face variations over time.
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Mousa-Pasandi, M.E.[M. Esmaeel],
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Age and gender recognition using informative features of various
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ICIP14(5891-5895)
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Databases
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Who Do I Look Like? Determining Parent-Offspring Resemblance via
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CVPR14(1757-1764)
IEEE DOI
1409
Deep Learning
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Suwajanakorn, S.[Supasorn],
Seitz, S.M.[Steven M.],
Illumination-Aware Age Progression,
CVPR14(3334-3341)
IEEE DOI
1409
age
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Facial Aging Simulator by Data-Driven Component-Based Texture Cloning,
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1501
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Maejima, A.[Akinobu],
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Facial Aging Simulator Based on Patch-Based Facial Texture
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ACPR13(732-733)
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Interactive Aged-Face Simulation with Freehand Wrinkle Drawing,
ACPR13(765-769)
IEEE DOI
1408
feature extraction
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Piao, Y.M.[Ying-Mei],
Kudo, M.,
How Do Facial Expressions Contribute to Age Prediction?,
ACPR13(882-886)
IEEE DOI
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emotion recognition
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Liu, K.H.[Kuan-Hsien],
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WACV14(445-452)
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ICCV13(2872-2879)
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ICIP13(3230-3234)
IEEE DOI
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affective classification;art theory;image features;interpretability
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Bacteria Foraging Fusion for Face Recognition across Age Progression,
Biometrics13(173-179)
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Face recognition; biometrics; facial aging
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Batool, N.,
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FG13(1-7)
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See also Probabilistic logic with minimum perplexity: Application to language modeling.
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IEEE DOI
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Gutierrez-Osuna, R.[Ricardo],
Reducing the other-race effect through caricatures,
FG08(1-5).
IEEE DOI
0809
BibRef
Lanitis, A.[Andreas],
Evaluating the performance of face-aging algorithms,
FG08(1-6).
IEEE DOI
0809
BibRef
Ramanathan, N.[Narayanan],
Chellappa, R.[Rama],
Modeling shape and textural variations in aging faces,
FG08(1-8).
IEEE DOI
0809
BibRef
Biswas, S.[Soma],
Aggarwal, G.[Gaurav],
Ramanathan, N.[Narayanan],
Chellappa, R.[Rama],
A Non-generative Approach for Face Recognition Across Aging,
BTAS08(1-6).
IEEE DOI
0809
BibRef
Sethuram, A.[Amrutha],
Ricanek, K.[Karl],
Patterson, E.[Eric],
A hierarchical approach to facial aging,
AMFG10(100-107).
IEEE DOI
1006
BibRef
Patterson, E.,
Sethuram, A.,
Ricanek, K.,
Bingham, F.,
Improvements in Active Appearance Model based synthetic age progression
for adult aging,
BTAS09(1-5).
IEEE DOI
0909
BibRef
Sethuram, A.[Amrutha],
Patterson, E.[Eric],
Ricanek, K.[Karl],
Rawls, A.[Allen],
Improvements and Performance Evaluation Concerning Synthetic Age
Progression and Face Recognition Affected by Adult Aging,
ICB09(62-71).
Springer DOI
0906
BibRef
Patterson, E.,
Sethuram, A.,
Albert, M.,
Ricanek, K.,
King, M.,
Aspects of Age Variation in Facial Morphology Affecting Biometrics,
BTAS07(1-6).
IEEE DOI
0709
BibRef
Ricanek, K.,
Tesafaye, T.,
MORPH: A Longitudinal Image Database of Normal Adult Age-Progression,
FGR06(341-345).
IEEE DOI
0604
BibRef
Yan, S.C.[Shui-Cheng],
Zhou, X.[Xi],
Liu, M.[Ming],
Hasegawa-Johnson, M.[Mark],
Huang, T.S.[Thomas S.],
Regression from patch-kernel,
CVPR08(1-8).
IEEE DOI
0806
Apply to Age and head pose issues.
BibRef
Singh, R.[Richa],
Vatsa, M.[Mayank],
Noore, A.[Afzel],
Singh, S.K.[Sanjay K.],
Age Transformation for Improving Face Recognition Performance,
PReMI07(576-583).
Springer DOI
0712
See also Mosaicing Scheme for Pose-Invariant Face Recognition, A.
BibRef
Wang, H.[Huan],
Yan, S.C.[Shui-Cheng],
Huang, T.S.[Thomas S.],
Liu, J.Z.[Jian-Zhuang],
Tang, X.[Xiaoou],
Misalignment-robust face recognition,
CVPR08(1-6).
IEEE DOI
0806
BibRef
Yan, S.C.[Shui-Cheng],
Wang, H.[Huan],
Tang, X.[Xiaoou],
Huang, T.S.[Thomas S.],
Learning Auto-Structured Regressor from Uncertain Nonnegative Labels,
ICCV07(1-8).
IEEE DOI
0710
Apply to human age and pose.
BibRef
Ling, H.B.[Hai-Bin],
Soatto, S.[Stefano],
Ramanathan, N.[Narayanan],
Jacobs, D.W.[David W.],
A Study of Face Recognition as People Age,
ICCV07(1-8).
IEEE DOI
0710
BibRef
Wang, J.Y.[Jun-Yan],
Shang, Y.[Yan],
Su, G.D.[Guang-Da],
Lin, X.G.[Xing-Gang],
Age simulation for face recognition,
ICPR06(III: 913-916).
IEEE DOI
0609
BibRef
Pavlidis, I.[Ioannis],
Symosek, P.[Peter],
The Imaging Issue in an Automatic Face/Disguise Detection System,
CVBVS00(15).
IEEE DOI
0006
BibRef
Yin, L.J.[Li-Jun],
Jia, J.R.[Jing-Rong],
Morrissey, J.,
Towards race-related face identification:
Research on skin color transfer,
AFGR04(362-368).
IEEE DOI
0411
BibRef
Hosoi, S.,
Takikawa, E.,
Kawade, M.,
Ethnicity estimation with facial images,
AFGR04(195-200).
IEEE DOI
0411
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Age Estimation .