21.2.5.1 Face Analysis -- Age Estimation

Chapter Contents (Back)
Age Estimation. Aging Analaysis.

Lanitis, A.[Andreas], Taylor, C.J.[Chris J.], Cootes, T.F.,
Toward Automatic Simulation of Aging Effects on Face Images,
PAMI(24), No. 4, April 2002, pp. 442-455.
IEEE DOI 0204
BibRef
Earlier:
Modeling the Process of Ageing in Face Images,
ICCV99(131-136).
IEEE DOI BibRef
And: A1, A3, A2:
Simulating Age Effects on Face Images,
AVBPA99(xx-yy). See also Automatic Face Identification System Using Flexible Appearance Models. BibRef

Lanitis, A.[Andreas], Taylor, C.J.[Chris J.],
Towards Automatic Face Identification Robust to Ageing Variation,
AFGR00(391-396).
IEEE DOI 0003
BibRef

Lanitis, A., Draganova, C., Christodoulou, C.,
Comparing Different Classifiers for Automatic Age Estimation,
SMC-B(34), No. 1, February 2004, pp. 621-628.
IEEE Abstract. 0403
Different classifiers: a classifier based on the use of quadratic functions for modeling the relationship between face model parameters and age, a shortest distance classifier, and artificial neural network based classifiers. BibRef

Geng, X.[Xin], Zhou, Z.H.[Zhi-Hua], Smith-Miles, K.[Kate],
Automatic Age Estimation Based on Facial Aging Patterns,
PAMI(29), No. 12, December 2007, pp. 2234-2240.
IEEE DOI 0711
BibRef
And: Correction PAMI(30), No. 2, February 2008, pp. 368-368.
IEEE DOI 0712
Model the aging pattern (sequence of face images sorted by time). Choose age using projection in the subspace that can reconstruct the face image with minimum reconstruction error. BibRef

Geng, X.[Xin], Yin, C.[Chao], Zhou, Z.H.[Zhi-Hua],
Facial Age Estimation by Learning from Label Distributions,
PAMI(35), No. 10, 2013, pp. 2401-2412.
IEEE DOI 1309
Aging BibRef

Huo, Z.W.[Zeng-Wei], Yang, X.[Xu], Xing, C.[Chao], Zhou, Y.[Ying], Hou, P.[Peng], Lv, J.Q.[Jia-Qi], Geng, X.[Xin],
Deep Age Distribution Learning for Apparent Age Estimation,
ChaLearn16(722-729)
IEEE DOI 1612
BibRef

He, Z.Z.[Zhou-Zhou], Li, X.[Xi], Zhang, Z.F.[Zhong-Fei], Wu, F.[Fei], Geng, X.[Xin], Zhang, Y.Q.[Ya-Qing], Yang, M.H.[Ming-Hsuan], Zhuang, Y.T.[Yue-Ting],
Data-Dependent Label Distribution Learning for Age Estimation,
IP(26), No. 8, August 2017, pp. 3846-3858.
IEEE DOI 1707
computer vision, correlation methods, face recognition, image coding, learning (artificial intelligence), adaptive latent label distribution learning, age prediction, BibRef

Gao, B.B.[Bin-Bin], Xing, C.[Chao], Xie, C.W.[Chen-Wei], Wu, J.X.[Jian-Xin], Geng, X.[Xin],
Deep Label Distribution Learning With Label Ambiguity,
IP(26), No. 6, June 2017, pp. 2825-2838.
IEEE DOI 1609
image classification, image recognition, image segmentation, neural nets, pose estimation, DLDL method, Kullback-Leibler divergence, ambiguous information, apparent age estimation, BibRef

Yang, X., Gao, B.B., Xing, C., Huo, Z.W., Wei, X.S., Zhou, Y., Wu, J., Geng, X.,
Deep Label Distribution Learning for Apparent Age Estimation,
ChaLearnDec15(344-350)
IEEE DOI 1602
Estimation BibRef

Geng, X.[Xin], Wang, Q.[Qin], Xia, Y.[Yu],
Facial Age Estimation by Adaptive Label Distribution Learning,
ICPR14(4465-4470)
IEEE DOI 1412
Aging BibRef

Shih, J.L.[Jau-Ling], Lee, C.H.[Chang-Hsing], Yang, C.S.[Chang-Shen],
An adult image identification system employing image retrieval technique,
PRL(28), No. 16, December 2007, pp. 2367-2374.
Elsevier DOI 0711
Adult image identification; Scalable color descriptor; Edge histogram descriptor BibRef

Guo, G.D.[Guo-Dong], Fu, Y.[Yun], Dyer, C.R.[Charles R.], Huang, T.S.[Thomas S.],
Image-Based Human Age Estimation by Manifold Learning and Locally Adjusted Robust Regression,
IP(17), No. 7, July 2008, pp. 1178-1188.
IEEE DOI 0806
BibRef
And:
A Probabilistic Fusion Approach to human age prediction,
SLAM08(1-6).
IEEE DOI 0806
BibRef
Earlier: A1, A2, A4, A3:
Locally Adjusted Robust Regression for Human Age Estimation,
WACV08(1-6).
IEEE DOI 0801
BibRef

Fu, Y.[Yun], Guo, G.D.[Guo-Dong], Huang, T.S.[Thomas S.],
Age Synthesis and Estimation via Faces: A Survey,
PAMI(32), No. 11, November 2010, pp. 1955-1976.
IEEE DOI 1011
Survey, Age Estimation. BibRef

Mu, G.W.[Guo-Wang], Guo, G.D.[Guo-Dong], Fu, Y.[Yun], Huang, T.S.[Thomas S.],
Human age estimation using bio-inspired features,
CVPR09(112-119).
IEEE DOI 0906
BibRef

Fu, Y.[Yun], Huang, T.S.[Thomas S.],
Human Age Estimation With Regression on Discriminative Aging Manifold,
MultMed(10), No. 4, June 2008, pp. 578-584.
IEEE DOI 0905
BibRef

Li, Z.[Zhen], Fu, Y.[Yun], Huang, T.S.[Thomas S.],
A robust framework for multiview age estimation,
AMFG10(9-16).
IEEE DOI 1006
BibRef

Guo, G.D.[Guo-Dong], Mu, G.W.[Guo-Wang], Fu, Y.[Yun], Dyer, C.[Charles], Huang, T.S.[Thomas S.],
A study on automatic age estimation using a large database,
ICCV09(1986-1991).
IEEE DOI 0909
BibRef

Guo, G.D.[Guo-Dong], Dyer, C.R.[Charles R.], Fu, Y.[Yun], Huang, T.S.[Thomas S.],
Is gender recognition affected by age?,
HCI09(2032-2039).
IEEE DOI 0910
BibRef

Lu, L.[Li], Shi, P.F.[Peng-Fei],
Fusion of Multiple Facial Features for Age Estimation,
IEICE(E92-D), No. 9, September 2009, pp. 1815-1818.
WWW Link. 0910
BibRef

Ueki, K.[Kazuya], Sugiyama, M.[Masashi], Ihara, Y.[Yasuyuki],
A Semi-Supervised Approach to Perceived Age Prediction from Face Images,
IEICE(E93-D), No. 10, October 2010, pp. 2875-2878.
WWW Link. 1011
BibRef

Ueki, K.[Kazuya], Sugiyama, M.[Masashi], Ihara, Y.[Yasuyuki],
Lighting Condition Adaptation for Perceived Age Estimation,
IEICE(E94-D), No. 2, February 2011, pp. 392-395.
WWW Link. 1102
BibRef
Earlier:
Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation,
ICPR10(3400-3403).
IEEE DOI 1008
BibRef

Choi, S.E.[Sung Eun], Lee, Y.J.[Youn Joo], Lee, S.J.[Sung Joo], Park, K.R.[Kang Ryoung], Kim, J.H.[Jai-Hie],
Age estimation using a hierarchical classifier based on global and local facial features,
PR(44), No. 6, June 2011, pp. 1262-1281.
Elsevier DOI 1102
BibRef
Earlier:
A comparative study of local feature extraction for age estimation,
ICARCV10(1280-1284).
IEEE DOI 1109
Age estimation; Hybrid features; Hierarchical classifier; Gabor filter; Local binary pattern (LBP) BibRef

Wang, J.G.[Jian-Gang], Sung, E.[Eric], Yau, W.Y.[Wei-Yun],
Active Learning for Solving the Incomplete Data Problem in Facial Age Classification by the Furthest Nearest-Neighbor Criterion,
IP(20), No. 7, July 2011, pp. 2049-2062.
IEEE DOI 1107
BibRef
Earlier:
Active Learning with the Furthest Nearest Neighbor Criterion for Facial Age Estimation,
ACCV10(IV: 11-24).
Springer DOI 1011
BibRef

Ogawa, T.[Tetsuji], Ueki, K.[Kazuya], Kobayashi, T.[Tetsunori],
Class-Distance-Based Discriminant Analysis and Its Application to Supervised Automatic Age Estimation,
IEICE(E94-D), No. 8, August 2011, pp. 1683-1689.
WWW Link. 1108
BibRef

Ueki, K.[Kazuya], Hayashida, T.[Teruhide], Kobayashi, T.[Tetsunori],
Two-dimensional Heteroscedastic Linear Discriminant Analysis for Age-group Classification,
ICPR06(II: 585-588).
IEEE DOI 0609
BibRef

Ueki, K.[Kazuya], Miya, M.[Masakazu], Ogawa, T.[Tetsuji], Kobayashi, T.[Tetsunori],
Class Distance Weighted Locality Preserving Projection for Automatic Age Estimation,
BTAS08(1-5).
IEEE DOI 0809
BibRef

Ueki, K., Hayashida, T., Kobayashi, T.,
Subspace-based Age-group Classification Using Facial Images under Various Lighting Conditions,
FGR06(43-48).
IEEE DOI 0604
BibRef

Ueki, K., Komatsu, H., Imaizumi, S., Kaneko, K., Sekine, N., Katto, J., Kobayashi, T.,
A method of gender classification by integrating facial, hairstyle, and clothing images,
ICPR04(IV: 446-449).
IEEE DOI 0409
BibRef

Wang, H.L.[Hee-Lin], Wang, J.G.[Jian-Gang], Yau, W.Y.[Wei-Yun],
Automated age regression for personalized IPTV services,
SP:IC(26), No. 7, August 2011, pp. 390-399.
Elsevier DOI 1108
Computer interaction; IPTV; Targeted advertisement; Automated age estimation BibRef

Ni, B., Song, Z., Yan, S.,
Web Image and Video Mining Towards Universal and Robust Age Estimator,
MultMed(13), No. 6, 2011, pp. 1217-1229.
IEEE DOI 1112
BibRef

Lu, J.W.[Ji-Wen], Tan, Y.P.[Yap-Peng],
Ordinary Preserving Manifold Analysis for Human Age and Head Pose Estimation,
HMS(43), No. 2, March 2013, pp. 249-258.
IEEE DOI 1303
BibRef
Earlier:
Ordinary preserving manifold analysis for human age estimation,
Biometrics10(90-95).
IEEE DOI 1006
BibRef
And:
Cost-sensitive subspace learning for human age estimation,
ICIP10(1593-1596).
IEEE DOI 1009
BibRef
And:
Cost-sensitive subspace learning for face recognition,
CVPR10(2661-2666).
IEEE DOI 1006
BibRef
Earlier:
Enhanced face recognition using tensor neighborhood preserving discriminant projections,
ICIP08(1916-1919).
IEEE DOI 0810
BibRef

Lu, J.W.[Ji-Wen], Liong, V.E., Zhou, J.[Jie],
Cost-Sensitive Local Binary Feature Learning for Facial Age Estimation,
IP(24), No. 12, December 2015, pp. 5356-5368.
IEEE DOI 1512
See also Learning Compact Binary Face Descriptor for Face Recognition. See also Localized Multifeature Metric Learning for Image-Set-Based Face Recognition. BibRef

Lu, J.W.[Ji-Wen], Liong, V.E., Zhou, J.[Jie],
Simultaneous Local Binary Feature Learning and Encoding for Homogeneous and Heterogeneous Face Recognition,
PAMI(40), No. 8, August 2018, pp. 1979-1993.
IEEE DOI 1807
BibRef
Earlier:
Simultaneous Local Binary Feature Learning and Encoding for Face Recognition,
ICCV15(3721-3729)
IEEE DOI 1602
Binary codes, Encoding, Face, Face recognition, Feature extraction, Learning systems, Robustness, Face recognition, binary feature, heterogeneous face matching BibRef

Liu, H.[Hao], Lu, J.W.[Ji-Wen], Feng, J.J.[Jian-Jiang], Zhou, J.[Jie],
Group-aware deep feature learning for facial age estimation,
PR(66), No. 1, 2017, pp. 82-94.
Elsevier DOI 1704
BibRef
And:
Ordinal Deep Feature Learning for Facial Age Estimation,
FG17(157-164)
IEEE DOI 1707
Aging, Estimation, Face, Feature extraction, Learning systems, Machine learning, Training Facial age estimation See also Context-Aware Local Binary Feature Learning for Face Recognition. BibRef

Weng, R.L.[Ren-Liang], Lu, J.W.[Ji-Wen], Yang, G.[Gao], Tan, Y.P.[Yap-Peng],
Multi-feature ordinal ranking for facial age estimation,
FG13(1-6)
IEEE DOI 1309
face recognition BibRef

Sungatullina, D., Lu, J.W.[Ji-Wen], Wang, G.[Gang], Moulin, P.,
Multiview discriminative learning for age-invariant face recognition,
FG13(1-6)
IEEE DOI 1309
age issues BibRef

Chao, W.L.[Wei-Lun], Liu, J.Z.[Jun-Zuo], Ding, J.J.[Jian-Jiun],
Facial age estimation based on label-sensitive learning and age-oriented regression,
PR(46), No. 3, March 2013, pp. 628-641.
Elsevier DOI 1212
Machine learning; Pattern recognition; Manifold learning; Dimensionality reduction; Distance metric learning; Local regression; Age estimation BibRef

Alnajar, F.[Fares], Shan, C.[Caifeng], Gevers, T.[Theo], Geusebroek, J.M.[Jan-Mark],
Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions,
IVC(30), No. 12, December 2012, pp. 946-953.
Elsevier DOI 1212
Age estimation; Codebook; Local features; Face BibRef

Wang, X., Li, R., Zhou, Y., Kambhamettu, C.,
A Study of Convolutional Sparse Feature Learning for Human Age Estimate,
FG17(566-572)
IEEE DOI 1707
Aging, Convolutional codes, Estimation, Face, Feature extraction, Manifolds, Neural, networks BibRef

Guo, G.D.[Guo-Dong], Mu, G.W.[Guo-Wang],
A framework for joint estimation of age, gender and ethnicity on a large database,
IVC(32), No. 10, 2014, pp. 761-770.
Elsevier DOI 1410
BibRef
Earlier:
Joint estimation of age, gender and ethnicity: CCA vs. PLS,
FG13(1-6).
IEEE DOI 1309
BibRef
Earlier:
Simultaneous dimensionality reduction and human age estimation via kernel partial least squares regression,
CVPR11(657-664).
IEEE DOI 1106
BibRef
Earlier:
Human age estimation: What is the influence across race and gender?,
AMFG10(71-78).
IEEE DOI 1006
BibRef
And:
A study of large-scale ethnicity estimation with gender and age variations,
AMFG10(79-86).
IEEE DOI 1006
Joint estimation of age, gender and ethnicity. age issues BibRef

Guo, G.D.[Guo-Dong], Mu, G.W.[Guo-Wang], Ricanek, K.[Karl],
Cross-Age Face Recognition on a Very Large Database: The Performance versus Age Intervals and Improvement Using Soft Biometric Traits,
ICPR10(3392-3395).
IEEE DOI 1008
BibRef

Chang, K.Y.[Kuang-Yu], Chen, C.S.[Chu-Song],
A Learning Framework for Age Rank Estimation Based on Face Images With Scattering Transform,
IP(24), No. 3, March 2015, pp. 785-798.
IEEE DOI 1502
Gabor filters BibRef

Chang, K.Y.[Kuang-Yu], Chen, C.S.[Chu-Song], Hung, Y.P.[Yi-Ping],
A Ranking Approach for Human Ages Estimation Based on Face Images,
ICPR10(3396-3399).
IEEE DOI 1008
BibRef

Yang, P.[Peng], Zhong, L.[Lin], Metaxas, D.N.[Dimitris N.],
Ranking Model for Facial Age Estimation,
ICPR10(3404-3407).
IEEE DOI 1008
BibRef

Dibeklioglu, H.[Hamdi], Alnajar, F., Salah, A.A.[Albert Ali], Gevers, T.[Theo],
Combining Facial Dynamics With Appearance for Age Estimation,
IP(24), No. 6, June 2015, pp. 1928-1943.
IEEE DOI 1504
Aging See also Like Father, Like Son: Facial Expression Dynamics for Kinship Verification. BibRef

Dibekliog(lu, H.[Hamdi], Gevers, T.[Theo], Lucassen, M.[Marcel], Salah, A.A.[Albert Ali],
The Role of Color and Contrast in Facial Age Estimation,
HBU14(52-61).
Springer DOI 1411
BibRef

Lou, Z.Y.[Zhong-Yu], Alnajar, F.[Fares], Alvarez, J.M.[Jose M.], Hu, N.H.[Ning-Hang], Gevers, T.[Theo],
Expression-Invariant Age Estimation Using Structured Learning,
PAMI(40), No. 2, February 2018, pp. 365-375.
IEEE DOI 1801
BibRef
Earlier: A2, A1, A3, A5, Only:
Expression-Invariant Age Estimation,
BMVC14(xx-yy).
HTML Version. 1410
Aging, Estimation, Face, Feature extraction, Graphical models, Mathematical model, Training, Age estimation, structured learning BibRef

Li, C., Liu, Q., Dong, W., Zhu, X., Liu, J., Lu, H.,
Human Age Estimation Based on Locality and Ordinal Information,
Cyber(45), No. 11, November 2015, pp. 2522-2534.
IEEE DOI 1511
Aging BibRef

Huerta, I.[Ivan], Fernández, C.[Carles], Segura, C.[Carlos], Hernando, J.[Javier], Prati, A.[Andrea],
A deep analysis on age estimation,
PRL(68, Part 2), No. 1, 2015, pp. 239-249.
Elsevier DOI 1512
Age estimation BibRef

Pan, L.[Lili], He, Q.S.[Qiang-Sen], Zheng, Y.[Yali], Xie, M.[Mei],
Using Correlated Regression Models to Calculate Cumulative Attributes for Age Estimation,
IEICE(E98-D), No. 12, December 2015, pp. 2349-2352.
WWW Link. 1601
BibRef

Wang, S., Tao, D., Yang, J.,
Relative Attribute SVM: Learning for Age Estimation,
Cyber(46), No. 3, March 2016, pp. 827-839.
IEEE DOI 1602
Estimation BibRef

Pontes, J.K.[Jhony K.], Britto, Jr., A.S.[Alceu S.], Fookes, C.[Clinton], Koerich, A.L.[Alessandro L.],
A flexible hierarchical approach for facial age estimation based on multiple features,
PR(54), No. 1, 2016, pp. 34-51.
Elsevier DOI 1603
Age estimation BibRef

Li, Y.[Ya], Peng, Z.L.[Zhang-Lin], Liang, D.P.[De-Peng], Chang, H.Y.[Hui-You], Cai, Z.Q.[Zhao-Quan],
Facial age estimation by using stacked feature composition and selection,
VC(32), No. 12, December 2016, pp. 1525-1536.
WWW Link. 1611
BibRef

He, Z., Li, X., Zhang, Z., Zhang, Y., Xiao, J., Zhou, X.,
Structure-Aware Slow Feature Analysis for Age Estimation,
SPLetters(23), No. 12, December 2016, pp. 1702-1706.
IEEE DOI 1612
computer vision BibRef

Feng, S., Lang, C., Feng, J., Wang, T., Luo, J.,
Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization,
MultMed(19), No. 1, January 2017, pp. 136-148.
IEEE DOI 1612
Aerospace electronics BibRef

Chen, K.[Ke], Jia, K.[Kui], Zhang, Z.X.[Zhao-Xiang], Kämäräinen, J.K.[Joni-Kristian],
Spectral attribute learning for visual regression,
PR(66), No. 1, 2017, pp. 74-81.
Elsevier DOI 1704
Facial age estimation BibRef

Li, K.[Kai], Xing, J.L.[Jun-Liang], Hu, W.M.[Wei-Ming], Maybank, S.J.[Stephen J.],
D2C: Deep cumulatively and comparatively learning for human age estimation,
PR(66), No. 1, 2017, pp. 95-105.
Elsevier DOI 1704
Age estimation BibRef

Xing, J.L.[Jun-Liang], Li, K.[Kai], Hu, W.M.[Wei-Ming], Yuan, C.F.[Chun-Feng], Ling, H.B.[Hai-Bin],
Diagnosing deep learning models for high accuracy age estimation from a single image,
PR(66), No. 1, 2017, pp. 106-116.
Elsevier DOI 1704
Age estimation BibRef

Hu, Z., Wen, Y., Wang, J., Wang, M., Hong, R., Yan, S.,
Facial Age Estimation With Age Difference,
IP(26), No. 7, July 2017, pp. 3087-3097.
IEEE DOI 1706
Aging, Entropy, Estimation, Face, Feature extraction, Machine learning, Neural networks, Age difference, K-L divergence distance, age estimation, convolutional, neural, networks BibRef

Bukar, A.M.[Ali Maina], Ugail, H.[Hassan],
Automatic age estimation from facial profile view,
IET-CV(11), No. 8, December 2017, pp. 650-655.
DOI Link 1712
BibRef

Ng, C.C.[Choon-Ching], Yap, M.H.[Moi Hoon], Cheng, Y.T.[Yi-Tseng], Hsu, G.S.[Gee-Sern],
Hybrid Ageing Patterns for face age estimation,
IVC(69), 2018, pp. 92-102.
Elsevier DOI 1802
BibRef
Earlier: A1, A3, A4, A2:
Multi-layer age regression for face age estimation,
MVA17(294-297)
DOI Link 1708
Age estimation, Wrinkle detection, Facial appearance model, Line tracking, Support vector regression. Aging, Estimation, Face, Feature extraction, Shape, Training BibRef

Rothe, R.[Rasmus], Timofte, R.[Radu], Van Gool, L.J.[Luc J.],
Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks,
IJCV(126), No. 2-4, April 2018, pp. 144-157.
Springer DOI 1804
BibRef
Earlier:
DEX: Deep EXpectation of Apparent Age from a Single Image,
ChaLearnDec15(252-257)
IEEE DOI 1602
Electronic publishing; Encyclopedias; Estimation; Face; Internet; Training BibRef

Agustsson, E., Timofte, R.[Radu], Escalera, S., Baro, X., Guyon, I., Rothe, R.[Rasmus],
Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database,
FG17(87-94)
IEEE DOI 1707
Databases, Estimation, Face, Face detection, Face recognition, Feature extraction BibRef

Yoo, B., Kwak, Y., Kim, Y., Choi, C., Kim, J.,
Deep Facial Age Estimation Using Conditional Multitask Learning With Weak Label Expansion,
SPLetters(25), No. 6, June 2018, pp. 808-812.
IEEE DOI 1806
face recognition, image classification, learning (artificial intelligence), neural nets, Alexnet, label expansion BibRef

Chen, S., Zhang, C., Dong, M.,
Deep Age Estimation: From Classification to Ranking,
MultMed(20), No. 8, August 2018, pp. 2209-2222.
IEEE DOI 1808
approximation theory, biometrics (access control), convergence, convolution, error analysis, face recognition, feature extraction, convergence BibRef

Chen, S., Zhang, C., Dong, M., Le, J., Rao, M.,
Using Ranking-CNN for Age Estimation,
CVPR17(742-751)
IEEE DOI 1711
Aging, Benchmark testing, Estimation, Feature extraction, Neural networks, Support vector machines, Training BibRef

Wan, J.[Jun], Tan, Z.C.[Zi-Chang], Lei, Z.[Zhen], Guo, G.D.[Guo-Dong], Li, S.Z.[Stan Z.],
Auxiliary Demographic Information Assisted Age Estimation With Cascaded Structure,
Cyber(48), No. 9, September 2018, pp. 2531-2541.
IEEE DOI 1809
feature extraction, feedforward neural nets, Gaussian processes, gender issues, learning (artificial intelligence), Gaussian process regression (GPR) BibRef

Tan, Z.C.[Zi-Chang], Wan, J.[Jun], Lei, Z.[Zhen], Zhi, R.C.[Rui-Cong], Guo, G.D.[Guo-Dong], Li, S.Z.[Stan Z.],
Efficient Group-n Encoding and Decoding for Facial Age Estimation,
PAMI(40), No. 11, November 2018, pp. 2610-2623.
IEEE DOI 1810
Estimation, Face, Training, Aging, Decoding, Encoding, Correlation, Age estimation, deep learning, convolutional neural network, data imbalance BibRef

Tan, Z.C.[Zi-Chang], Zhou, S.[Shuai], Wan, J.[Jun], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Age Estimation Based on a Single Network with Soft Softmax of Aging Modeling,
ACCV16(III: 203-216).
Springer DOI 1704
BibRef

Chen, L.M.[Li-Ming], Fan, C.[Cien], Yang, H.Y.[Hai-Yan], Hu, S.Y.[Shi-Yong], Zou, L.[Lian], Deng, D.X.[De-Xiang],
Face age classification based on a deep hybrid model,
SIViP(12), No. 8, November 2018, pp. 1531-1539.
Springer DOI 1809
BibRef

Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Travieso-González, C.M.[Carlos M.], Freire-Obregón, D.[David], Alonso-Hernández, J.B.[Jesús B.],
Evaluation of local descriptors and CNNs for non-adult detection in visual content,
PRL(113), 2018, pp. 10-18.
Elsevier DOI 1810
Local descriptors, CNNs, Age estimation, Score level fusion BibRef


Jaiswal, S., Egede, J., Valstar, M.,
Deep Learned Cumulative Attribute Regression,
FG18(715-722)
IEEE DOI 1806
Estimation, Face recognition, Gold, Machine learning, Pain, Task analysis, Training, age estimation, cnn, cumulative attributes, sparse data BibRef

Drobnyh, K.A., Polovinkin, A.N.,
Using Supervised Deep Learning for Human Age Estimation Problem,
PTVSBB17(97-100).
DOI Link 1805
BibRef

Sun, L., Qiu, S., Liu, H., Zhou, M., Li, Q.,
Facial age estimation through self-paced learning,
VCIP17(1-4)
IEEE DOI 1804
convolution, estimation theory, face recognition, feedforward neural nets, learning (artificial intelligence), Training BibRef

Zheng, T., Deng, W., Hu, J.,
Deep probabilities for age estimation,
VCIP17(1-4)
IEEE DOI 1804
face recognition, feature extraction, feedforward neural nets, image classification, learning (artificial intelligence), probability BibRef

He, Y., Huang, M., Miao, Q., Guo, H., Wang, J.,
Deep embedding network for robust age estimation,
ICIP17(1092-1096)
IEEE DOI 1803
Aging, Databases, Estimation, Face, Measurement, Neural networks, Training, age estimation, convolutional neural network, multi-task loss BibRef

Shang, C., Ai, H.,
Cluster convolutional neural networks for facial age estimation,
ICIP17(1817-1821)
IEEE DOI 1803
Clustering algorithms, Estimation, Face, Feature extraction, Machine learning, Task analysis, Training, Age estimation, face age BibRef

Angulu, R.[Raphael], Tapamo, J.R.[Jules R.], Adewumi, A.O.[Aderemi O.],
Age Estimation with Local Ternary Directional Patterns,
PSIVT17(421-434).
Springer DOI 1802
BibRef

Agustsson, E., Timofte, R., Van Gool, L.J.,
Anchored Regression Networks Applied to Age Estimation and Super Resolution,
ICCV17(1652-1661)
IEEE DOI 1802
estimation theory, face recognition, gradient methods, image resolution, learning (artificial intelligence), Training data BibRef

del Coco, M.[Marco], Carcagně, P.[Pierluigi], Leo, M.[Marco], Spagnolo, P.[Paolo], Mazzeo, P.L.[Pier Luigi], Distante, C.[Cosimo],
Multi-branch CNN for Multi-scale Age Estimation,
CIAP17(II:234-244).
Springer DOI 1711
BibRef

Zheng, T., Deng, W., Hu, J.,
Age Estimation Guided Convolutional Neural Network for Age-Invariant Face Recognition,
Biometrics17(503-511)
IEEE DOI 1709
Aging, Estimation, Face, Face recognition, Feature, extraction BibRef

Hsu, G.S.J., Cheng, Y.T., Ng, C.C., Yap, M.H.,
Component Biologically Inspired Features with Moving Segmentation for Age Estimation,
Biometrics17(540-547)
IEEE DOI 1709
Convolution, Databases, Estimation, Face, Feature extraction, Support vector machines, Training BibRef

Torres, M.T., Valstar, M.F., Henry, C., Ward, C., Sharkey, D.,
Small Sample Deep Learning for Newborn Gestational Age Estimation,
FG17(79-86)
IEEE DOI 1707
Biomedical imaging, Ear, Estimation, Face, Image segmentation, Machine learning, Pediatrics BibRef

Tian, Q., Chen, S.C.[Song-Can],
Cross-heterogeneous-database age estimation with co-representation among them,
ICPR16(1333-1338)
IEEE DOI 1705
Aging, Databases, Estimation, Monitoring, Pattern recognition, Testing, Training BibRef

Ambikapathi, A.[Arul_Murugan], Cheng, Y.T.[Yi-Tseng], Hsu, G.S.J.[Gee-Sern Jison], Hsieh, C.H.[Cheng-Hua],
Reliable Age Estimation Based on Apt Gabor Features Selection and SVM,
WFI16(II: 407-416).
Springer DOI 1704
BibRef

Chen, K.[Ke], Kämäräinen, J.K.[Joni-Kristian],
Learning with Ambiguous Label Distribution for Apparent Age Estimation,
ACCV16(III: 330-343).
Springer DOI 1704
BibRef
Earlier:
Learning to Count with Back-propagated Information,
ICPR14(4672-4677)
IEEE DOI 1412
Benchmark testing BibRef

Gowda, S.N.[Shreyank N.],
Age Estimation by LS-SVM Regression on Facial Images,
ISVC16(II: 370-379).
Springer DOI 1701
BibRef

Malli, R.C., Aygün, M., Ekenel, H.K.,
Apparent Age Estimation Using Ensemble of Deep Learning Models,
ChaLearn16(714-721)
IEEE DOI 1612
BibRef

Antipov, G.[Grigory], Baccouche, M., Berrani, S.A.[Sid-Ahmed], Dugelay, J.L.[Jean-Luc],
Apparent Age Estimation from Face Images Combining General and Children-Specialized Deep Learning Models,
ChaLearn16(801-809)
IEEE DOI 1612
BibRef

Niu, Z., Zhou, M., Wang, L., Gao, X., Hua, G.,
Ordinal Regression with Multiple Output CNN for Age Estimation,
CVPR16(4920-4928)
IEEE DOI 1612
BibRef

Liu, T.J., Liu, K.H., Liu, H.H., Pei, S.C.,
Age estimation via fusion of multiple binary age grouping systems,
ICIP16(609-613)
IEEE DOI 1610
Aging BibRef

Liu, H., Sun, X.,
Linear canonical correlation analysis based ranking approach for facial age estimation,
ICIP16(3249-3253)
IEEE DOI 1610
Computational modeling BibRef

Liu, X., Li, S., Kan, M., Zhang, J., Wu, S., Liu, W., Han, H., Shan, S., Chen, X.,
AgeNet: Deeply Learned Regressor and Classifier for Robust Apparent Age Estimation,
ChaLearnDec15(258-266)
IEEE DOI 1602
Aging;Encoding;Estimation;Face;Neural networks;Robustness;Standards BibRef

Zhu, Y., Li, Y., Mu, G.W.[Guo-Wang], Guo, G.D.[Guo-Dong],
A Study on Apparent Age Estimation,
ChaLearnDec15(267-273)
IEEE DOI 1602
Computer architecture BibRef

Kuang, Z., Huang, C., Zhang, W.,
Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation,
ChaLearnDec15(338-343)
IEEE DOI 1602
Binary codes BibRef

Ranjan, R., Zhou, S., Chen, J.C., Kumar, A., Alavi, A., Patel, V.M.[Vishal M.], Chellappa, R.,
Unconstrained Age Estimation with Deep Convolutional Neural Networks,
ChaLearnDec15(351-359)
IEEE DOI 1602
Estimation BibRef

Yang, H.F.[Huei-Fang], Lin, B.Y.[Bo-Yao], Chang, K.Y.[Kuang-Yu], Chen, C.S.[Chu-Song],
Automatic Age Estimation from Face Images via Deep Ranking,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Zou, M.[Ming], Niu, J.W.[Jian-Wei], Chen, J.[Jinpeng], Liu, Y.[Yu], Zhao, X.[Xiaoke],
Facial Age Estimation with Images in the Wild,
MMMod16(I: 454-465).
Springer DOI 1601
BibRef

Alnajar, F.[Fares], Gevers, T.[Theo], Karaoglu, S.[Sezer],
Age estimation under changes in image quality: An experimental study,
ICIP15(3987-3991)
IEEE DOI 1512
BibRef

Gao, D.F.[Di-Fei], Pan, L.[Lili], Liu, R.[Risheng], Chen, R.[Rui], Xie, M.[Mei],
Correlated warped Gaussian processes for gender-specific age estimation,
ICIP15(133-137)
IEEE DOI 1512
age estimation; correlated regularization BibRef

Kim, J.[Jiwhan], Han, D.Y.[Dong-Yoon], Sohn, S.[Sungryull], Kim, J.[Junmo],
Facial age estimation via extended curvature Gabor filter,
ICIP15(1165-1169)
IEEE DOI 1512
Age estimation; Gabor Filter; feature selection; random forest; regression BibRef

di Fina, D., Karaman, S., Bagdanov, A.D.[Andrew D.], del Bimbo, A.[Alberto],
MORF: Multi-Objective Random Forests for face characteristic estimation,
AVSS15(1-6)
IEEE DOI 1511
Head pose and multiple soft biometrics from faces (Age, Gender and Ethnicity). BibRef

Seidenari, L.[Lorenzo], Rozza, A.[Alessandro], del Bimbo, A.[Alberto],
Real-Time Age Estimation from Face Imagery Using Fisher Vectors,
CIAP15(II:172-182).
Springer DOI 1511
BibRef

Demontis, A.[Ambra], Biggio, B.[Battista], Fumera, G.[Giorgio], Roli, F.[Fabio],
Super-Sparse Regression for Fast Age Estimation from Faces at Test Time,
CIAP15(II:551-562).
Springer DOI 1511
BibRef

Wang, X.L.[Xiao-Long], Kambhamettu, C.,
Age estimation via unsupervised neural networks,
FG15(1-6)
IEEE DOI 1508
face recognition BibRef

Reade, S.[Simon], Viriri, S.[Serestina],
Hybrid Age Estimation Using Facial Images,
ICIAR15(239-246).
Springer DOI 1507
BibRef

Yi, D.[Dong], Lei, Z.[Zhen], Li, S.Z.[Stan Z.],
Age Estimation by Multi-scale Convolutional Network,
ACCV14(III: 144-158).
Springer DOI 1504
BibRef

Panis, G.[Gabriel], Lanitis, A.[Andreas],
An Overview of Research Activities in Facial Age Estimation Using the FG-NET Aging Database,
SoftBio14(737-750).
Springer DOI 1504
BibRef

Huerta, I.[Ivan], Fernández, C.[Carles], Prati, A.[Andrea],
Facial Age Estimation Through the Fusion of Texture and Local Appearance Descriptors,
SoftBio14(667-681).
Springer DOI 1504
BibRef

Wang, X.L.[Xiao-Long], Guo, R.[Rui], Kambhamettu, C.[Chandra],
Deeply-Learned Feature for Age Estimation,
WACV15(534-541)
IEEE DOI 1503
Aging BibRef

Guo, G.D.[Guo-Dong], Zhang, C.[Chao],
A Study on Cross-Population Age Estimation,
CVPR14(4257-4263)
IEEE DOI 1409
Age estimation BibRef

Ylioinas, J.[Juha], Hadid, A.[Abdenour], Hong, X.P.[Xiao-Peng],
Age Estimation Using Local Binary Pattern Kernel Density Estimate,
CIAP13(I:141-150).
Springer DOI 1311
BibRef

Zhang, C.[Chao], Guo, G.D.[Guo-Dong],
Exploiting Unlabeled Ages for Aging Pattern Analysis on a Large Database,
BDCV13(458-464)
IEEE DOI 1309
Age estimation; big data; semi-supervised; unlabeled ages; unsupervised BibRef

Li, C.S.[Chang-Sheng], Liu, Q.S.[Qing-Shan], Liu, J.[Jing], Lu, H.Q.[Han-Qing],
Learning distance metric regression for facial age estimation,
ICPR12(2327-2330).
WWW Link. 1302
BibRef
And:
Learning ordinal discriminative features for age estimation,
CVPR12(2570-2577).
IEEE DOI 1208
BibRef

Guo, G.D.[Guo-Dong], Wang, X.L.[Xiao-Long],
A study on human age estimation under facial expression changes,
CVPR12(2547-2553).
IEEE DOI 1208
BibRef

Gao, P.X.[Peter Xiang],
Facial age estimation using Clustered Multi-task Support Vector Regression Machine,
ICPR12(541-544).
WWW Link. 1302
BibRef

Ma, Y.[Yong], Xiong, T.[Tao], Zou, Y.M.[Yan-Ming], Wang, K.Q.[Kong-Qiao],
Person-specific age estimation under ranking framework,
ICMR11(38).
DOI Link 1301
consider the aging process as person specific BibRef

Kilinc, M.[Merve], Akgul, Y.S.[Yusuf Sinan],
Human Age Estimation Via Geometric And Textural Features,
VISAPP12(xx-yy).
PDF File. 1204
BibRef

Fan, N.[Na],
Learning nonlinear distance functions using neural network for regression with application to robust human age estimation,
ICCV11(249-254).
IEEE DOI 1201
BibRef

Song, Z.[Zheng], Ni, B.B.[Bing-Bing], Guo, D.[Dong], Sim, T.[Terence], Yan, S.C.[Shui-Cheng],
Learning universal multi-view age estimator using video context,
ICCV11(241-248).
IEEE DOI 1201
Generalize to non-frontal faces. BibRef

Liang, Y.X.[Yi-Xiong], Liu, L.B.[Ling-Bo], Xu, Y.[Ying], Xiang, Y.[Yao], Zou, B.[Beiji],
Multi-task GLOH feature selection for human age estimation,
ICIP11(565-568).
IEEE DOI 1201
BibRef

Wang, H.L.[Hee Lin], Wang, J.G.[Jian-Gang], Yau, W.Y.[Wei-Yun], Chua, X.L.[Xing Lun], Tan, Y.P.[Yap Peng],
Effects of facial alignment for age estimation,
ICARCV10(644-647).
IEEE DOI 1109
BibRef

Chang, K.Y.[Kuang-Yu], Chen, C.S.[Chu-Song], Hung, Y.P.[Yi-Ping],
Ordinal hyperplanes ranker with cost sensitivities for age estimation,
CVPR11(585-592).
IEEE DOI 1106
BibRef

Konishi, M.[Masato], Tobitani, K.[Kensuke], Katahira, K.[Kenji], Azuma, Y.[Yasuhiro], Nagata, N.[Noriko], Fujisawa, T.X.[Takashi X.],
Estimation of subjective age based on the facial images of others: experimental verification of a younger identity caused by the effect of delusions of the accumulated memory of a known face,
FCV13(67-73).
IEEE DOI 1304
BibRef

Azuma, Y.[Yasuhiro], Konishi, M.[Masato], Miyamoto, N.[Naoyuki], Fujisawa, T.X.[Takashi X.], Nagata, N.[Noriko], Kosaka, A.[Akio],
Estimation of subjective age based on facial images of others: Comparative studies of the Americans and the Japanese,
FCV11(1-6).
IEEE DOI 1102
BibRef

Fukunaga, T.[Takashi], Hayashi, J.I.[Jun-Ichiro],
A method for age estimation based on Co-occurrence histogram,
FCV11(1-5).
IEEE DOI 1102
BibRef

El-Dib, M.Y.[Mohamed Y.], El-Saban, M.[Motaz],
Human age estimation using enhanced bio-inspired features (EBIF),
ICIP10(1589-1592).
IEEE DOI 1009
BibRef

Fang, H.[Hui], Grant, P.[Phil], Chen, M.[Min],
Discriminant Feature Manifold for Facial Aging Estimation,
ICPR10(593-596).
IEEE DOI 1008
BibRef

Hernandez, J.R.[John Ruiz], Crowley, J.L.[James L.], Lux, A.[Augustin],
'How old are you?': Age Estimation with Tensors of Binary Gaussian Receptive Maps,
BMVC10(xx-yy).
HTML Version. 1009
BibRef
And:
Tensor-Jet: A tensorial representation of Local Binary Gaussian Jet maps,
AMFG10(41-47).
IEEE DOI 1006
See also Face recognition using tensors of census transform histograms from Gaussian features maps. BibRef

Zhang, Y.[Yu], Yeung, D.Y.[Dit-Yan],
Multi-task warped Gaussian process for personalized age estimation,
CVPR10(2622-2629).
IEEE DOI 1006
BibRef

Ben, S.[Shenglan], Chen, J.S.[Jian-Sheng], Su, G.D.[Guang-Da],
Piecewise linear aging function for facial age estimation,
ICIP09(2753-2756).
IEEE DOI 0911
BibRef

Pan, L.T.[Le-Ting],
Human Age Estimation by Metric Learning for Regression Problems,
EMMCVPR09(455-465).
Springer DOI 0908
BibRef

Long, Y.J.[Yang-Jing],
Human Age Estimation by Metric Learning for Regression Problems,
CAIP09(74-82).
Springer DOI 0909
BibRef

Zhuang, X.D.[Xiao-Dan], Zhou, X.[Xi], Hasegawa-Johnson, M.[Mark], Huang, T.[Thomas],
Face age estimation using patch-based hidden Markov model supervectors,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Chen, C.X.[Cui-Xian], Yang, W.K.[Wan-Kou], Wang, Y.S.[Yi-Shi], Ricanek, K.[Karl], Luu, K.[Khoa],
Facial feature fusion and model selection for age estimation,
FG11(200-205).
IEEE DOI 1103
BibRef

Chen, C.X.[Cui-Xian], Chang, Y.[Yaw], Ricanek, K.[Karl], Wang, Y.S.[Yi-Shi],
Face age estimation using model selection,
AMFG10(93-99).
IEEE DOI 1006
BibRef

Ricanek, K., Wang, Y.S.[Yi-Shi], Chen, C.X.[Cui-Xian], Simmons, S.J.,
Generalized multi-ethnic face age-estimation,
BTAS09(1-6).
IEEE DOI 0909
BibRef

Luu, K.[Khoa], Bui, T.D.[Tien Dai], Suen, C.Y.[Ching Y.], Ricanek, K.[Karl],
Spectral Regression based age determination,
Biometrics10(103-107).
IEEE DOI 1006
BibRef
Earlier: A1, A4, A2, A3:
Age estimation using Active Appearance Models and Support Vector Machine regression,
BTAS09(1-5).
IEEE DOI 0909
BibRef

Hayashi, J., Yasumoto, M., Ito, H., Koshimizu, H.,
Age and gender estimation based on wrinkle texture and color of facial images,
ICPR02(I: 405-408).
IEEE DOI 0211
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Kinship Analysis, Relationships .


Last update:Nov 12, 2018 at 11:26:54