22.2.5 Face Analysis -- Age Variations and Related Analysis

Chapter Contents (Back)
Face Recognition. Ageing Analaysis. Aging Analaysis. Application, Faces. Application, Face Recognition.
See also Face Analysis -- Age Estimation.
See also Face Analysis -- Gender Classification.

Burson, N.[Nancy], Schneider, T.D.[Thomas D.],
Method and apparatus for producing an image of a person's face at a different age,
US_Patent4,276,570, Jun 30, 1981
WWW Link. From an old face and young face, find differences, change new face. BibRef 8106

Burt, D.M., and Perrett, D.I.,
Perception of age in adult caucasian male faces: computer graphic manipulation of shape and colour information,
RoyalP(B-259), 1995, pp. 137-143. BibRef 9500

da Vitoria Lobo, N.[Niels], Kwon, Y.H.[Young H.],
Automatic feature detection and age classification of human faces in digital images,
US_Patent5,781,650, July 14, 1998.
WWW Link. BibRef 9807

da Vitoria Lobo, N.[Niels], Kwon, Y.H.[Young Ho],
Face detection using templates,
US_Patent5,835,616, Nov 10, 1998
WWW Link. BibRef 9811
Earlier: A2, A1: ICPR94(A:764-767).
IEEE DOI BibRef

Murata, Y.[Yoshiyuki], Yamaguchi, Y.[Yoshito],
Face image data processing devices,
US_Patent6,226,013, May 1, 2001
WWW Link. BibRef 0105
And: US_Patent5,818,457, Oct 6, 1998
WWW Link. Process for age presentation. BibRef

Mao, Z.L.[Zhi-Li], Ju, X.Y.[Xiang-Yang], Siebert, J.P.[J. Paul], Cockshott, W.P.[W. Paul], Ayoub, A.F.[Ashraf F.],
Constructing dense correspondences for the analysis of 3D facial morphology,
PRL(27), No. 6, 15 April 2006, pp. 597-608.
Elsevier DOI 0604
BibRef
Earlier: A1, A3, A4, A5, Only:
Constructing dense correspondences to analyze 3D facial change,
ICPR04(III: 144-148).
IEEE DOI 0409
3D facial analysis; Dense correspondences; Elastic deformation; Generic model BibRef

Scandrett, C.M.[Catherine M.], Solomon, C.J.[Christopher J.], Gibson, S.J.[Stuart J.],
A person-specific, rigorous aging model of the human face,
PRL(27), No. 15, November 2006, pp. 1776-1787.
Elsevier DOI 0609
Age progression; PCA; Pose compensation BibRef

Scandrett, C.M.[Catherine M.], Solomon, C.J.[Christopher J.], Gibson, S.J.[Stuart J.],
Towards a semi-automatic method for the statistically rigorous ageing of the human face,
VISP(153), No. 5, October 2006, pp. 639-649.
DOI Link 0702
BibRef

Ramanathan, N.[Narayanan], Chellappa, R.[Rama],
Face Verification Across Age Progression,
IP(15), No. 11, November 2006, pp. 3349-3361.
IEEE DOI 0610
BibRef
Earlier: CVPR05(II: 462-469).
IEEE DOI 0507
BibRef
And:
Modeling Age Progression in Young Faces,
CVPR06(I: 387-394).
IEEE DOI 0606
BibRef

Ramanathan, N.[Narayanan], Chellappa, R.[Rama], Roy Chowdhury, A.K.,
Facial similarity across age disguise illumination and pose,
ICIP04(III: 1999-2002).
IEEE DOI 0505
BibRef

Song, M.L.[Ming-Li], Wang, H.Q.[Hui-Qiong], Chen, C.[Chun],
Local Laplacian Detail Learning For Face Aging Manipulation,
IJIG(7), No. 3, July 2007, pp. 463-480. 0707
BibRef

Rowe, S.M.[Simon Michael], Taylor, R.I.[Richard Ian],
Age-based face recognition,
US_Patent7,362,886, Apr 22, 2008
WWW Link. BibRef 0804

Suo, J.L.[Jin-Li], Zhu, S.C.[Song-Chun], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
A Compositional and Dynamic Model for Face Aging,
PAMI(32), No. 3, March 2010, pp. 385-401.
IEEE DOI 1002
And-Or compositional model, includes hair, wrinkles, other details and variations across faces. BibRef

Suo, J.L.[Jin-Li], Chen, X.L.[Xi-Lin], Shan, S.G.[Shi-Guang], Gao, W.[Wen], Dai, Q.H.[Qiong-Hai],
A Concatenational Graph Evolution Aging Model,
PAMI(34), No. 11, November 2012, pp. 2083-2096.
IEEE DOI 1209
BibRef
Earlier: A1, A2, A3, A4, Only:
Learning long term face aging patterns from partially dense aging databases,
ICCV09(622-629).
IEEE DOI 0909
Learn long term ageing from some of the image (partially temporally dense). Spatial and temporal analysis. BibRef

Suo, J.L.[Jin-Li], Wu, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
Design sparse features for age estimation using hierarchical face model,
FG08(1-6).
IEEE DOI 0809
BibRef

Suo, J.L.[Jin-Li], Min, F.[Feng], Zhu, S.C.[Song-Chun], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
A Multi-Resolution Dynamic Model for Face Aging Simulation,
CVPR07(1-8).
IEEE DOI 0706
BibRef

Park, U.S.[Un-Sang], Tong, Y.Y.[Yi-Ying], Jain, A.K.[Anil K.],
Age-Invariant Face Recognition,
PAMI(32), No. 5, May 2010, pp. 947-954.
IEEE DOI 1003
BibRef
Earlier:
Face recognition with temporal invariance: A 3D aging model,
FG08(1-7).
IEEE DOI 0809
Adapt 3-D face models to 2-D aging models. BibRef

Li, Z.F.[Zhi-Feng], Park, U.S.[Un-Sang], Jain, A.K.,
A Discriminative Model for Age Invariant Face Recognition,
IFSec(6), No. 3, 2011, pp. 1028-1037.
IEEE DOI 1203
BibRef

Drygajlo, A.[Andrzej], Li, W.F.[Wei-Feng],
Client-specific A-stack model for adult face verification across aging,
SIViP(5), No. 4, November 2011, pp. 431-441.
WWW Link. 1111
BibRef
Earlier: A2, A1: Li, W.F.[Wei-Feng], Drygajlo, A.[Andrzej],
Global and local feature based multi-classifier A-stack model for aging face identification,
ICIP10(3797-3800).
IEEE DOI 1009
BibRef
And: A2, A1:
Multi-classifier Q-stack Aging Model for Adult Face Verification,
ICPR10(1310-1313).
IEEE DOI 1008
BibRef
Earlier: A2, A1:
Identification of Aging Faces Using A-Stack Classification Model,
CISP09(1-5).
IEEE DOI 0910
BibRef

Lanitis, A., Tsapatsoulis, N.[Nikolas],
Quantitative evaluation of the effects of aging on biometric templates,
IET-CV(5), No. 6, 2011, pp. 338-347.
DOI Link 1112
BibRef

Wang, Y.H.[Yun-Hong], Zhang, Z.X.[Zhao-Xiang], Li, W.X.[Wei-Xin], Jiang, F.Y.[Fang-Yuan],
Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images,
SMC-B(42), No. 4, August 2012, pp. 1107-1118.
IEEE DOI 1208
BibRef
Earlier: A4, A1, Only:
Facial aging simulation based on super-resolution in tensor space,
ICIP08(1648-1651).
IEEE DOI 0810
BibRef

Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng], Wang, G.[Gang],
Discriminative Multimanifold Analysis for Face Recognition from a Single Training Sample per Person,
PAMI(35), No. 1, January 2013, pp. 39-51.
IEEE DOI 1212
BibRef
Earlier: ICCV11(1943-1950).
IEEE DOI 1201
Appearence based face recognition assumes multiple samples, but most applications have a single example. BibRef

Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng], Wang, G.[Gang], Yang, G.[Gao],
Image-to-Set Face Recognition Using Locality Repulsion Projections and Sparse Reconstruction-Based Similarity Measure,
CirSysVideo(23), No. 6, 2013, pp. 1070-1080.
IEEE DOI 1307
single sample per person; Lighting; subspace learning BibRef

Xia, T.[Tian], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
Face recognition using an enhanced age simulation method,
VCIP11(1-4).
IEEE DOI 1201
BibRef

Meng, C.[Cui], Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
A comparative study of age-invariant face recognition with different feature representations,
ICARCV10(890-895).
IEEE DOI 1109
BibRef

Mahalingam, G.[Gayathri], Kambhamettu, C.[Chandra],
Face verification of age separated images under the influence of internal and external factors,
IVC(30), No. 12, December 2012, pp. 1052-1061.
Elsevier DOI 1212
BibRef
Earlier:
Can discriminative cues aid face recognition across age?,
FG11(206-212).
IEEE DOI 1103
BibRef
Earlier:
Face verification with aging using AdaBoost and local binary patterns,
ICCVGIP10(101-108).
DOI Link 1111
Age progression; Face recognition; Face verification; AdaBoost; Local binary patterns
See also Face Recognition in Videos: A Graph Based Modified Kernel Discriminant Analysis. BibRef

Bereta, M.[Michal], Karczmarek, P.[Pawel], Pedrycz, W.[Witold], Reformat, M.[Marek],
Local descriptors in application to the aging problem in face recognition,
PR(46), No. 10, October 2013, pp. 2634-2646.
Elsevier DOI 1306
Face recognition; Face detection; Aging process; Local descriptors; Local binary patterns; Gabor wavelets BibRef

Bereta, M.[Michal], Pedrycz, W.[Witold], Reformat, M.[Marek],
Local descriptors and similarity measures for frontal face recognition: A comparative analysis,
JVCIR(24), No. 8, 2013, pp. 1213-1231.
Elsevier DOI 1312
Face recognition BibRef

Batool, N.[Nazre], Chellappa, R.[Rama],
Detection and Inpainting of Facial Wrinkles Using Texture Orientation Fields and Markov Random Field Modeling,
IP(23), No. 9, September 2014, pp. 3773-3788.
IEEE DOI 1410
BibRef
Earlier:
Modeling and Detection of Wrinkles in Aging Human Faces Using Marked Point Processes,
Face12(II: 178-188).
Springer DOI 1210
Gabor filters BibRef

Vieira, T.F.[Tiago F.], Bottino, A.[Andrea], Laurentini, A.[Aldo], de Simone, M.[Matteo],
Detecting siblings in image pairs,
VC(30), No. 12, December 2014, pp. 1333-1345.
Springer DOI 1411
Start to determine what are the most important facial features for the task BibRef

Dibeklioglu, H.[Hamdi], Salah, A.A.[Albert Ali], Gevers, T.[Theo],
A Statistical Method for 2-D Facial Landmarking,
IP(21), No. 2, February 2012, pp. 844-858.
IEEE DOI 1201
BibRef

Chen, B.C.[Bor-Chun], Chen, C.S.[Chu-Song], Hsu, W.H.[Winston H.],
Face Recognition and Retrieval Using Cross-Age Reference Coding With Cross-Age Celebrity Dataset,
MultMed(17), No. 6, June 2015, pp. 804-815.
IEEE DOI 1506
BibRef
Earlier:
Cross-Age Reference Coding for Age-Invariant Face Recognition and Retrieval,
ECCV14(VI: 768-783).
Springer DOI 1408
Accuracy. BibRef

Han, H.[Hu], Otto, C.[Charles], Liu, X., Jain, A.K.[Anil K.],
Demographic Estimation from Face Images: Human vs. Machine Performance,
PAMI(37), No. 6, June 2015, pp. 1148-1161.
IEEE DOI 1506
Active appearance model BibRef

Otto, C.[Charles], Han, H.[Hu], Jain, A.K.[Anil K.],
How Does Aging Affect Facial Components?,
Face12(II: 189-198).
Springer DOI 1210
BibRef

Fairhurst, M.C., Erbilek, M., da Costa-Abreu, M.C.,
Selective Review and Analysis of Aging Effects in Biometric System Implementation,
HMS(45), No. 3, June 2015, pp. 294-303.
IEEE DOI 1506
Aging BibRef

Fang, K.[Kai], Liu, S.Y.[Shuo-Yan],
Face Verification Based on the Age Progression Rules,
IEICE(E98-D), No. 5, May 2015, pp. 1112-1115.
WWW Link. 1506
BibRef

Liu, S.Y.[Shuo-Yan], Fang, K.[Kai],
Common and Adapted Vocabularies for Face Verification,
IEICE(E98-D), No. 12, December 2015, pp. 2337-2340.
WWW Link. 1601
BibRef

Ali, A.S.O.[A. Seralkhatem Osman], Sagayan, V., Saeed, A.M., Ameen, H., Aziz, A.,
Age-invariant face recognition system using combined shape and texture features,
IET-Bio(4), No. 2, 2015, pp. 98-115.
DOI Link 1507
edge detection BibRef

Ali, A.S.O.[A. Seralkhatem Osman], Sagayan, V., Malik, A., Aziz, A.,
Proposed face recognition system after plastic surgery,
IET-CV(10), No. 5, 2016, pp. 342-348.
DOI Link 1609
face recognition BibRef

Islam, M.T.[Mohammad T.], Greenwell, C.[Connor], Souvenir, R.[Richard], Jacobs, N.[Nathan],
Large-scale geo-facial image analysis,
JIVP(2015), No. 1, 2015, pp. 17.
DOI Link 1508
BibRef

Islam, M.T.[Mohammad T.], Workman, S.[Scott], Wu, H.[Hui], Jacobs, N.[Nathan], Souvenir, R.[Richard],
Exploring the geo-dependence of human face appearance,
WACV14(1042-1049)
IEEE DOI 1406
Accuracy BibRef

Liu, L.Q.[Luo-Qi], Xiong, C.[Chao], Zhang, H.W.[Han-Wang], Niu, Z.H.[Zhi-Heng], Wang, M.[Meng], Yan, S.C.[Shui-Cheng],
Deep Aging Face Verification With Large Gaps,
MultMed(18), No. 1, January 2016, pp. 64-75.
IEEE DOI 1601
Aging BibRef

Shu, X.B.[Xiang-Bo], Tang, J.H.[Jin-Hui], Li, Z.C.[Ze-Chao], Lai, H.J.[Han-Jiang], Zhang, L.Y.[Li-Yan], Yan, S.C.[Shui-Cheng],
Personalized Age Progression with Bi-Level Aging Dictionary Learning,
PAMI(40), No. 4, April 2018, pp. 905-917.
IEEE DOI 1804
ageing, image representation, rendering (computer graphics), BDL-PAP method, Bi-Level Aging Dictionary Learning, face synthesis BibRef

Zachevsky, I., Zeevi, Y.Y., Li, Z., Gong, D., Li, X., Tao, D.,
Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection,
IP(25), No. 5, May 2016, pp. 2146-2154.
IEEE DOI 1604
face recognition BibRef

Yang, H., Huang, D., Wang, Y., Wang, H., Tang, Y.,
Face Aging Effect Simulation Using Hidden Factor Analysis Joint Sparse Representation,
IP(25), No. 6, June 2016, pp. 2493-2507.
IEEE DOI 1605
face recognition BibRef

Panis, G., Lanitis, A., Tsapatsoulis, N., Cootes, T.F.,
Overview of research on facial ageing using the FG-NET ageing database,
IET-Bio(5), No. 2, 2016, pp. 37-46.
DOI Link 1606
age issues BibRef

Lanitis, A., Tsapatsoulis, N., Soteriou, K., Kuwahara, D., Morishima, S.,
FG2015 age progression evaluation,
FG15(1-6)
IEEE DOI 1508
age issues BibRef

Shu, X.B.[Xiang-Bo], Tang, J.H.[Jin-Hui], Lai, H.J.[Han-Jiang], Niu, Z.H.[Zhi-Heng], Yan, S.C.[Shui-Cheng],
Kinship-Guided Age Progression,
PR(59), No. 1, 2016, pp. 156-167.
Elsevier DOI 1609
Age progression BibRef

Shu, X.B.[Xiang-Bo], Tang, J.H.[Jin-Hui], Lai, H.J.[Han-Jiang], Liu, L., Yan, S.C.[Shui-Cheng],
Personalized Age Progression with Aging Dictionary,
ICCV15(3970-3978)
IEEE DOI 1602
Aging BibRef

Frimenko, R., Bruening, D., Goodyear, C., Bowden, D.,
Predictive ability of anthropomorphic metrics in determining age and sex of children,
IET-Bio(5), No. 3, 2016, pp. 181-189.
DOI Link 1609
image classification BibRef

Wang, H.[Heng], Huang, D.[Di], Wang, Y.H.[Yun-Hong], Yang, H.Y.[Hong-Yu],
Facial aging simulation via tensor completion and metric learning,
IET-CV(11), No. 1, February 2017, pp. 78-86.
DOI Link 1703
BibRef

Li, H., Zou, H.S.[Hao-Shan], Hu, H.F.[Hai-Feng],
Modified Hidden Factor Analysis for Cross-Age Face Recognition,
SPLetters(24), No. 4, April 2017, pp. 465-469.
IEEE DOI 1704
face recognition BibRef

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 Learning for Cross-Age Face Recognition,
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], Du, L.S.[Ling-Shuang], Hu, H.F.[Hai-Feng],
Parallel Multi-Path Age Distinguish Network for Cross-Age Face Recognition,
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 BibRef

Huang, Y.J.[Yang-Jian], Chen, W.D.[Wen-Dong], Hu, H.F.[Hai-Feng],
Age-Puzzle FaceNet for Cross-Age Face Recognition,
ACCV18(VI:603-619).
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.
DOI Link 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 age invariant face recognition,
PR(75), No. 1, 2018, pp. 51-62.
Elsevier DOI 1712
Age invariant BibRef

Zhou, H.L.[Hui-Ling], Lam, K.M.[Kin-Man],
Age-invariant face recognition based on identity inference from appearance age,
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 Specific Mean Autoencoder,
PRL(119), 2019, pp. 121-130.
Elsevier DOI 1902
Adulthood prediction, Supervised autoencoder, Face analysis BibRef

wu, S.F.[Shi-Feng], Wang, D.[Dahu],
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 BibRef

Dornaika, F., Arganda-Carreras, I., Belver, C.,
Age estimation in facial images through transfer learning,
MVA(30), No. 1, February 2019, pp. 177-187.
WWW Link. 1904
BibRef

Riaz, S.[Sidra], Park, U.S.[Un-Sang], Choi, J.M.[Jong-Moo], Natarajan, P.[Prem],
Age progression by gender-specific 3D aging model,
MVA(30), No. 1, February 2019, pp. 91-109.
WWW Link. 1904
BibRef

Zighem, M.E.N.[Mohammed-En-Nadhir], Ouafi, A.[Abdelkrim], Zitouni, A.[Athmane], Ruichek, Y.[Yassine], Taleb-Ahmed, A.[Abdelmalik],
Two-stages based facial demographic attributes combination for age estimation,
JVCIR(61), 2019, pp. 236-249.
Elsevier DOI 1906
Age estimation, Demographic classification, Feature extraction, SVR, SVM BibRef

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: Where Tractable Deep Modeling Meets Inverse Reinforcement Learning,
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 face recognition,
PR(93), 2019, pp. 442-457.
Elsevier DOI 1906
Age-invariant face recognition, Canonical correlation analysis, Deep learning, Linear regression BibRef

Shakeel, M.S.[M. Saad], Lam, K.M.[Kin-Man], Lai, S.C.[Shun-Cheung],
Learning sparse discriminant low-rank features for low-resolution face recognition,
JVCIR(63), 2019, pp. 102590.
Elsevier DOI 1909
Face recognition, Feature fusion, Local features, Low rank approximation, Linear regression, Sparse coding BibRef

Saad Shakeel, M., Lam, K.M.[Kin-Man],
Deep low-rank feature learning and encoding for cross-age face recognition,
JVCIR(82), 2022, pp. 103423.
Elsevier DOI 2201
Cross-age face recognition, Feature encoding, Kernel canonical correlation analysis, Low-rank features, Manifold learning BibRef

Xavier, I.R.R.[Igor R.R.], Giraldi, G.A.[Gilson A.], Gibson, S.J.[Stuart James], Gattas, G.J.F.[Gilka J.F.], Rueckert, D.[Daniel], Thomaz, C.E.[Carlos E.],
Age-related craniofacial differences based on spatio-temporal face image atlases,
IET-IPR(13), No. 9, 18 July 2019, pp. 1561-1568.
DOI Link 1907
BibRef

Olmschenk, G.[Greg], Zhu, Z.G.[Zhi-Gang], Tang, H.[Hao],
Generalizing semi-supervised generative adversarial networks to regression using feature contrasting,
CVIU(186), 2019, pp. 1-12.
Elsevier DOI 1908
Generative adversarial learning, Age estimation, Regression BibRef

Liu, K., Liu, T.,
A Structure-Based Human Facial Age Estimation Framework Under a Constrained Condition,
IP(28), No. 10, October 2019, pp. 5187-5200.
IEEE DOI 1909
Estimation, Feature extraction, Aging, Task analysis, Neural networks, Support vector machines, Pediatrics, Age grouping, feature extraction and selection BibRef

Zhang, H.Y.[Hui-Ying], Geng, X.[Xin], Zhang, Y.[Yu], Cheng, F.Y.[Fan-Yong],
Recurrent age estimation,
PRL(125), 2019, pp. 271-277.
Elsevier DOI 1909
Recurrent age estimation (RAE), Convolutional neural network (CNN), Label distribution learning (LDL) BibRef

Sendik, O.[Omry], Keller, Y.[Yosi],
DeepAge: Deep Learning of face-based age estimation,
SP:IC(78), 2019, pp. 368-375.
Elsevier DOI 1909
BibRef

Hiba, S.[Shakediel], Keller, Y.[Yosi],
Hierarchical Attention-Based Age Estimation and Bias Analysis,
PAMI(45), No. 12, December 2023, pp. 14682-14692.
IEEE DOI 2311
BibRef

Shreve, M., Bala, R., Wu, W., Xu, B., Purwar, A., Matts, P.,
Region-wise Modeling of Facial Skin Age using Deep CNNs,
MVA19(1-6)
DOI Link 1911
face recognition, feature extraction, image classification, learning (artificial intelligence), neural nets, Feature extraction BibRef

Pei, W., Dibeklioglu, H., Baltrušaitis, T., Tax, D.M.J.,
Attended End-to-End Architecture for Age Estimation From Facial Expression Videos,
IP(29), No. 1, 2020, pp. 1972-1984.
IEEE DOI 1912
Estimation, Videos, Aging, Task analysis, Feature extraction, Data models, Reliability, Age estimation, end-to-end, attention, facial dynamics BibRef

Tian, Q.[Qing], Zhang, W.Q.A.[Wen-Qi-Ang], Mao, J.X.[Jun-Xiang], Yin, H.J.[Hu-Jun],
Real-time human cross-race aging-related face appearance detection with deep convolution architecture,
RealTimeIP(17), No. 1, February 2020, pp. 83-93.
WWW Link. 2002
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Zhao, S.Y.[Shu-Yang], Li, J.[Jianwu], Wang, J.X.[Jia-Xing],
Disentangled representation learning and residual GAN for age-invariant face verification,
PR(100), 2020, pp. 107097.
Elsevier DOI 2005
Face recognition, Age-invariant face verification, Representation learning, Generative adversarial network BibRef

Yu, Y.F.[Yu-Feng], Wang, Q.C.[Qiang-Chang], Jiang, M.[Min],
Discriminative common feature subspace learning for age-invariant face recognition,
IET-Bio(9), No. 4, July 2020, pp. 136-142.
DOI Link 2006
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Moustafa, A.A.[Amal A.], Elnakib, A.[Ahmed], Areed, N.F.F.[Nihal F. F.],
Age-invariant face recognition based on deep features analysis,
SIViP(14), No. 5, July 2020, pp. 1027-1034.
Springer DOI 2006
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Liu, H., Sun, P., Zhang, J., Wu, S., Yu, Z., Sun, X.,
Similarity-Aware and Variational Deep Adversarial Learning for Robust Facial Age Estimation,
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 BibRef

Monroe, D.[Don],
Digital Humans on the Big Screen,
CACM(63), No. 8, Autust 2020, pp. 12-14.
DOI Link 2007
De-aged actors. BibRef

Yang, C.[Chun], Lv, Z.H.[Zhi-Han],
Gender based face aging with cycle-consistent adversarial networks,
IVC(100), 2020, pp. 103945.
Elsevier DOI 2008
Face aging, Age estimation, Image-to-Image translation, Age group classification, Subjective test BibRef

Heravi, F.M.Z.[Farnaz Majid Zadeh], Nait-Ali, A.[Amine],
Adult-child 3D backward face aging model (3D B-FAM),
JVCIR(72), 2020, pp. 102803.
Elsevier DOI 1806
3D modeling, Face aging, Textured 3D mesh, Biometrics, Anthropometry, Depth perception, Forensics BibRef

Shi, C.L.[Cheng-Long], Zhang, J.C.[Jia-Chao], Yao, Y.Z.[Ya-Zhou], Sun, Y.L.[Yun-Lian], Rao, H.M.[Hua-Ming], Shu, X.B.[Xiang-Bo],
CAN-GAN: Conditioned-attention normalized GAN for face age synthesis,
PRL(138), 2020, pp. 520-526.
Elsevier DOI 1806
GAN, Face aging synthesis, Normalization layer BibRef

Yang, H.Y.[Hong-Yu], Huang, D.[Di], Wang, Y.H.[Yun-Hong], Jain, A.K.[Anil K.],
Learning Continuous Face Age Progression: A Pyramid of GANs,
PAMI(43), No. 2, February 2021, pp. 499-515.
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], Wang, Y.[Yan], Zhao, K.[Kai], Wang, B.[Bo], Yuille, A.L.[Alan L.],
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,
CirSysVideo(31), No. 1, January 2021, pp. 148-159.
IEEE DOI 2101
Face recognition, Feature extraction, Face, Aging, Training, Task analysis, Cross-age face recognition, generative adversarial network BibRef

Liu, L.[Lu], Yu, H.B.[Hai-Bo], Wang, S.[Shenghui], Wan, L.[Lili], Han, S.S.[Shan-Shan],
Learning shape and texture progression for young child face aging,
SP:IC(93), 2021, pp. 116127.
Elsevier DOI 2103
Face aging, Geometry deformation, Textural Variation, Generative Adversarial Network, Image translation BibRef

Wang, H.Y.[Hao-Yi], Sanchez, V.[Victor], Li, C.T.[Chang-Tsun],
Age-Oriented Face Synthesis With Conditional Discriminator Pool and Adversarial Triplet Loss,
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 BibRef

Du, L.S.[Ling-Shuang], Hu, H.F.[Hai-Feng],
Cross-Age Identity Difference Analysis Model Based on Image Pairs for Age Invariant Face Verification,
CirSysVideo(31), No. 7, July 2021, pp. 2675-2685.
IEEE DOI 2107
Faces, Feature extraction, Face recognition, Aging, Analytical models, Task analysis, Computational modeling, cross-age verification network BibRef

Alonso-Fernandez, F.[Fernando], Hernandez-Diaz, K.[Kevin], Ramis, S.[Silvia], Perales, F.J.[Francisco J.], Bigun, J.[Josef],
Facial masks and soft-biometrics: Leveraging face recognition CNNs for age and gender prediction on mobile ocular images,
IET-Bio(10), No. 5, 2021, pp. 562-580.
DOI Link 2109
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Lin, L.E.[Lu En], Lin, C.H.[Chang Hong],
Data augmentation with occluded facial features for age and gender estimation,
IET-Bio(10), No. 6, 2021, pp. 640-653.
DOI Link 2110
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Wang, H.Y.[Hao-Yi], Sanchez, V.[Victor], Li, C.T.[Chang-Tsun],
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, BibRef

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.
DOI Link 2209
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Shao, J.[Jun], Bui, T.D.[Tien D.],
Wavelet-based multi-level generative adversarial networks for face aging,
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], Quach, K.G.[Kha Gia], Nguyen, N.[Nghia], Patterson, E.[Eric], 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], Luu, A.T.[Anh Thi], 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
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Pu, N.[Nan], Zhong, Z.[Zhun], Sebe, N.[Nicu], Lew, M.S.[Michael S.],
A Memorizing and Generalizing Framework for Lifelong Person Re-Identification,
PAMI(45), No. 11, November 2023, pp. 13567-13585.
IEEE DOI 2310
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Lin, L.[Ling], Liu, H.[Hao], 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 BibRef

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 BibRef


Li, P.P.[Pei-Pei], Wang, R.[Rui], Huang, H.B.[Huai-Bo], He, R.[Ran], He, Z.F.[Zhao-Feng],
Pluralistic Aging Diffusion Autoencoder,
ICCV23(22556-22566)
IEEE DOI 2401
BibRef

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
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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 Metrics,
ECCV22(XII:580-595).
Springer DOI 2211
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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
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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
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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
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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], Gwetu, M.[Mandlenkosi],
Skeletal Age Estimation from Hand Radiographs Using Ensemble Deep Learning,
MCPR21(173-183).
Springer DOI 2108
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Ahmed, M.[Marwa], Viriri, S.[Serestina],
Deep Learning Using Bayesian Optimization for Facial Age Estimation,
ICIAR19(II:243-254).
Springer DOI 1909
BibRef

Rhodes, A.D., Witte, J., Jednyak, B., Mitchell, M.,
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 BibRef

Zhang, Y.T.[Yu-Ting], Sohn, K.[Kihyuk], Villegas, R.[Ruben], Pan, G.[Gang], Lee, H.L.[Hong-Lak],
Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction,
CVPR15(249-258)
IEEE DOI 1510
BibRef

Reade, S.[Simon], Viriri, S.[Serestina],
Hybrid Age Estimation Using Facial Images,
ICIAR15(239-246).
Springer DOI 1507
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Im, W.B.[Woo-Bin], Hong, S.[Sungeun], Yoon, S.E.[Sung-Eui], Yang, H.S.[Hyun S.],
Scale-Varying Triplet Ranking with Classification Loss for Facial Age Estimation,
ACCV18(V:247-259).
Springer DOI 1906
BibRef

Yap, M.H.[Moi Hoon], Alarifi, J.[Jhan], Ng, C.C.[Choon-Ching], 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

Bessinger, Z.[Zachary], 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 BibRef

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 Aging,
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 Retrieval,
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 in the First Year of Life,
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 BibRef

Levi, G.[Gil], Hassncer, T.[Tal],
Age and gender classification using convolutional neural networks,
AMFG15(34-42)
IEEE DOI 1510
Benchmark testing BibRef

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 video,
ECVW15(56-64)
IEEE DOI 1510
Face BibRef

Du, L.[Liang], Ling, H.B.[Hai-Bin],
Cross-age face verification by coordinating with cross-face age verification,
CVPR15(2329-2338)
IEEE DOI 1510
BibRef

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], Lindenbaum, M.[Michael], Izquierdo, E.[Ebroul],
Temporal face embedding and propagation in photo collections,
ICIP14(6036-6040)
IEEE DOI 1502
Face variations over time. BibRef

Fazl-Ersi, E.[Ehsan], Mousa-Pasandi, M.E.[M. Esmaeel], Laganiere, R.[Robert], Awad, M.[Maher],
Age and gender recognition using informative features of various types,
ICIP14(5891-5895)
IEEE DOI 1502
Databases BibRef

Dehghan, A.[Afshin], Ortiz, E.G.[Enrique G.], Villegas, R.[Ruben], Shah, M.[Mubarak],
Who Do I Look Like? Determining Parent-Offspring Resemblance via Gated Autoencoders,
CVPR14(1757-1764)
IEEE DOI 1409
Deep Learning BibRef

Kemelmacher-Shlizerman, I.[Ira], Suwajanakorn, S.[Supasorn], Seitz, S.M.[Steven M.],
Illumination-Aware Age Progression,
CVPR14(3334-3341)
IEEE DOI 1409
age BibRef

Kuwahara, D.[Daiki], Maejima, A.[Akinobu], Morishima, S.[Shigeo],
Facial Aging Simulator by Data-Driven Component-Based Texture Cloning,
MMMod15(II: 295-298).
Springer DOI 1501
BibRef

Maejima, A.[Akinobu], Mizokawa, A., Kuwahara, D.[Daiki], Morishima, S.[Shigeo],
Facial Aging Simulator Based on Patch-Based Facial Texture Reconstruction,
ACPR13(732-733)
IEEE DOI 1408
image reconstruction BibRef

Mizokawa, A., Maejima, A., Morishima, S.,
Interactive Aged-Face Simulation with Freehand Wrinkle Drawing,
ACPR13(765-769)
IEEE DOI 1408
feature extraction BibRef

Piao, Y.M.[Ying-Mei], Kudo, M.,
How Do Facial Expressions Contribute to Age Prediction?,
ACPR13(882-886)
IEEE DOI 1408
emotion recognition BibRef

Liu, K.H.[Kuan-Hsien], Yan, S.C.[Shui-Cheng], Kuo, C.C.J.[C.C. Jay],
Age group classification via structured fusion of uncertainty-driven shape features and selected surface features,
WACV14(445-452)
IEEE DOI 1406
Aging BibRef

Gong, D.H.[Di-Hong], Li, Z.F.[Zhi-Feng], Lin, D.[Dahua], Liu, J.Z.[Jian-Zhuang], Tang, X.[Xiaoou],
Hidden Factor Analysis for Age Invariant Face Recognition,
ICCV13(2872-2879)
IEEE DOI 1403
Age invariance; face recognition BibRef

Wang, X.H.[Xiao-Hui], Jia, J.[Jia], Yin, J.M.[Jia-Ming], Cai, L.H.[Lian-Hong],
Interpretable aesthetic features for affective image classification,
ICIP13(3230-3234)
IEEE DOI 1402
affective classification;art theory;image features;interpretability BibRef

Xue, S.F.[Shao-Fu], Tang, H.[Henry], Tretter, D.[Dan], Lin, Q.[Qian], Allebach, J.[Jan],
Feature design for aesthetic inference on photos with faces,
ICIP13(2689-2693)
IEEE DOI 1402
Aesthetics; feature design; machine learning BibRef

Lufimpu-Luviya, Y.[Yannick], Merad, D.[Djamel], Paris, S.[Sebastien], Fertil, B.[Bernard],
A proposal of a solution for age band prediction from human faces,
AVSS13(129-134)
IEEE DOI 1311
Aging BibRef

Vieira, T.F.[Tiago F.], Bottino, A.[Andrea], Islam, I.U.[Ihtesham Ul],
Automatic Verification of Parent-Child Pairs from Face Images,
CIARP13(II:326-333).
Springer DOI 1311
BibRef

Akhtar, Z.[Zahid], Rattani, A.[Ajita], Hadid, A.[Abdenour],
Face Recognition under Ageing Effect: A Comparative Analysis,
CIAP13(II:309-318).
Springer DOI 1309
BibRef

Yadav, D.[Daksha], Vatsa, M.[Mayank], Singh, R.[Richa], Tistarelli, M.[Massimo],
Bacteria Foraging Fusion for Face Recognition across Age Progression,
Biometrics13(173-179)
IEEE DOI 1309
Face recognition; biometrics; facial aging BibRef

Batool, N., Taheri, S., Chellappa, R.,
Assessment of facial wrinkles as a soft biometrics,
FG13(1-7)
IEEE DOI 1309
face recognition BibRef

Ylioinas, J.[Juha], Hadid, A.[Abdenour], Pietikainen, M.[Matti],
Age Classification in Unconstrained Conditions Using LBP Variants,
ICPR12(1257-1260).
WWW Link. 1302
BibRef

Mao, X.J.[Xiao-Jiao], Yang, Y.B.[Yu-Bin], Li, N.[Ning], Zhang, Y.[Yao],
Age-invariant face verification based on Local Classifier Ensemble,
ICPR12(2408-2411).
WWW Link. 1302
BibRef

Wu, T.[Tao], Chellappa, R.[Rama],
Age Invariant Face Verification with Relative Craniofacial Growth Model,
ECCV12(VI: 58-71).
Springer DOI 1210
BibRef

Guo, G.D.[Guo-Dong],
Digital anti-aging in face images,
ICCV11(2510-2515).
IEEE DOI 1201
BibRef

Zhou, H.Y.[Hui-Yu], Miller, P.[Paul], Zhang, J.G.[Jian-Guo],
Age classification using Radon transform and entropy based scaling SVM,
BMVC11(xx-yy).
HTML Version. 1110
BibRef

Zhang, H.H.[Hai-Hong], Lao, S.H.[Shi-Hong], Kurata, T.[Tsuyoshi],
Face recognition with consideration of aging,
FG11(343).
IEEE DOI 1103
BibRef

Luu, K.[Khoa], Bui, T.D.[Tien Dai], Suen, C.Y.[Ching Y.],
Kernel spectral regression of perceived age from hybrid facial features,
FG11(1-6).
IEEE DOI 1103
BibRef

Li, W.F.[Wei-Feng], Drygajlo, A.[Andrzej], Qiu, H.[Hui],
Combination of age and head pose for adult face verification,
FG11(77-82).
IEEE DOI 1103
BibRef

Mokadem, A., Charbit, M., Chollet, G., Bailly, K.,
Age Regression Based on Local Image Features,
PSIVT10(88-93).
IEEE DOI 1011
BibRef

Bauckhage, C.[Christian], Jahanbekam, A.[Amirhossein], Thurau, C.[Christian],
Age Recognition in the Wild,
ICPR10(392-395).
IEEE DOI 1008
BibRef

Wen, D.[Di], Fang, C.[Chi], Ding, X.Q.[Xiao-Qing], Zhang, T.[Tong],
Development of Recognition Engine for Baby Faces,
ICPR10(3408-3411).
IEEE DOI 1008
BibRef

Bouchaffra, D.[Djamel],
Topological Dynamic Bayesian Networks,
ICPR10(898-901).
IEEE DOI 1008
BibRef
And:
Topological dynamic Bayesian networks: Application to human face identification across ages,
AMFG10(1-8).
IEEE DOI 1006

See also Probabilistic logic with minimum perplexity: Application to language modeling. BibRef

Montillo, A.[Albert], Ling, H.B.[Hai-Bin],
Age regression from faces using random forests,
ICIP09(2465-2468).
IEEE DOI 0911
BibRef

Ramanathan, N.[Narayanan], Chellappa, R.[Rama],
How would you look as you age?,
ICIP09(53-56).
IEEE DOI 0911
BibRef

Wang, J.G.[Jian-Gang], Yau, W.Y.[Wei-Yun], Wang, H.L.[Hee Lin],
Age categorization via ECOC with fused gabor and LBP features,
WACV09(1-6).
IEEE DOI 0912
BibRef

Ortega, M.[Marcos], Brodo, L.[Linda], Bicego, M.[Manuele], Tistarelli, M.[Massimo],
On the Quantitative Estimation of Short-Term Aging in Human Faces,
CIAP09(575-584).
Springer DOI 0909
BibRef

Bhatt, H.S.[Himanshu S.], Singh, R.[Richa], Vatsa, M.[Mayank],
On rank aggregation for face recognition from videos,
ICIP13(2993-2997)
IEEE DOI 1402
Dictionary based face recognition BibRef

Bharadwaj, S.[Samarth], Bhatt, H.S.[Himanshu S.], Vatsa, M.[Mayank], Singh, R.[Richa], Noore, A.[Afzel],
Quality assessment based denoising to improve face recognition performance,
Biometrics11(140-145).
IEEE DOI 1106
BibRef

Bhatt, H.S.[Himanshu S.], Bharadwaj, S.[Samarth], Singh, R.[Richa], Vatsa, M.[Mayank], Noore, A.[Afzel],
Evolutionary granular approach for recognizing faces altered due to plastic surgery,
FG11(720-725).
IEEE DOI 1103
BibRef

Singh, R.[Richa], Vatsa, M.[Mayank], Noore, A.[Afzel],
Effect of plastic surgery on face recognition: A preliminary study,
Biometrics09(72-77).
IEEE DOI 0906
BibRef

Ortega, M.[Marcos], Brodo, L.[Linda], Bicego, M.[Manuele], Tistarelli, M.[Massimo],
Measuring changes in face appearance through aging,
Biometrics09(107-113).
IEEE DOI 0906
BibRef

Zhong, C.[Cheng], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Fuzzy 3D Face Ethnicity Categorization,
ICB09(386-393).
Springer DOI 0906
BibRef

Gao, F.[Feng], Ai, H.Z.[Hai-Zhou],
Face Age Classification on Consumer Images with Gabor Feature and Fuzzy LDA Method,
ICB09(132-141).
Springer DOI 0906
BibRef

Rodriguez, J.[Jobany], Bortfeld, H.[Heather], 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 .


Last update:Oct 22, 2024 at 22:09:59