21.2.6.1 Face Analysis -- Gender Classification

Chapter Contents (Back)
Face Recognition. Gender Recognition. Application, Faces. Application, Face Recognition. See also Gender Analysis using Gait.

Moghaddam, B.[Baback], Yang, M.H.[Ming-Hsuan],
Learning Gender with Support Faces,
PAMI(24), No. 5, May 2002, pp. 707-711.
IEEE DOI 0205
Appearance based gender classification. Thumbnail (21X12 pixels) results only 1% worse then next size (84X48). BibRef

Moghaddam, B.[Baback], Yang, M.H.[Ming-Hsuan],
Gender Classification with Support Vector Machines,
AFGR00(306-311).
IEEE DOI 0003
BibRef

Yang, M.H.[Ming-Hsuan], Moghaddam, B.[Baback],
Support Vector Machines for Visual Gender Classification,
ICPR00(Vol I: 1115-1118).
IEEE DOI 0009
BibRef

Yang, M.H.,
Gender Classification Using Support Vector Machines,
ICIP00(Vol II: 471-474).
IEEE DOI 0008
BibRef

Kim, H.C.[Hyun-Chul], Kim, D.J.[Dai-Jin], Ghahramani, Z.[Zoubin], Bang, S.Y.[Sung Yang],
Appearance-based gender classification with Gaussian processes,
PRL(27), No. 6, 15 April 2006, pp. 618-626.
WWW Link. Gender classification; Appearance-based gender classification; Kernel machines; Gaussian process classifiers; Support vector machines 0604
BibRef

Baluja, S.[Shumeet], Rowley, H.A.[Henry A.],
Boosting Sex Identification Performance,
IJCV(71), No. 1, January 2007, pp. 111-119.
Springer DOI 0609
AdaBoost to determine gender. 20X20 image, 93% accuracy. BibRef

Samal, A.[Ashok], Subramani, V.[Vanitha], Marx, D.[David],
Analysis of sexual dimorphism in human face,
JVCIR(18), No. 6, December 2007, pp. 453-463.
WWW Link. 0711
Face recognition; Sexual dimorphism; Gender classification; Face classification; Human face BibRef

Makinen, E.[Erno], Raisamo, R.[Roope],
Evaluation of Gender Classification Methods with Automatically Detected and Aligned Faces,
PAMI(30), No. 3, March 2008, pp. 541-547.
IEEE DOI 0801
Automatic face alignment did not help. Manual alignment did a little. BibRef

Lu, H.C.[Hu-Chuan], Huang, Y.J.[Ying-Jie], Chen, Y.W.[Yen-Wei], Yang, D.L.[De-Li],
Automatic Gender Recognition Based on Pixel-Pattern-Based Texture Feature,
RealTimeIP(3), No. 1-2, March 2008, pp. xx-yy.
Springer DOI 0804
See also Automatic Facial Expression Recognition Based on Pixel-Pattern-Based Texture Feature. BibRef

Makinen, E.[Erno], Raisamo, R.[Roope],
An experimental comparison of gender classification methods,
PRL(29), No. 10, 15 July 2008, pp. 1544-1556.
WWW Link. 0711
Automatic face analysis; Gender classification; Face detection; Face database; Performance evaluation BibRef

Hadid, A.[Abdenour], Pietikainen, M.[Matti],
Combining appearance and motion for face and gender recognition from videos,
PR(42), No. 11, November 2009, pp. 2818-2827.
Elsevier DOI 0907
BibRef
And:
Manifold Learning for Gender Classification from Face Sequences,
ICB09(82-91).
Springer DOI 0906
BibRef
Earlier:
Combining motion and appearance for gender classification from video sequences,
ICPR08(1-4).
IEEE DOI 0812
BibRef
Earlier:
Selecting models from videos for appearance-based face recognition,
ICPR04(I: 304-308).
IEEE DOI 0409
Face recognition; Gender recognition; Facial dynamics; Boosting; Local binary patterns; Spatiotemporal analysis BibRef

Ylioinas, J.[Juha], Hadid, A.[Abdenour], Pietikäinen, M.[Matti],
Combining Contrast Information and Local Binary Patterns for Gender Classification,
SCIA11(676-686).
Springer DOI 1105
BibRef

Toews, M.[Matthew], Arbel, T.[Tal],
Detection, Localization, and Sex Classification of Faces from Arbitrary Viewpoints and under Occlusion,
PAMI(31), No. 9, September 2009, pp. 1567-1581.
IEEE DOI 0907
Bayesian classifier. Learn appearance model for each class. See also Statistical Parts-Based Model of Anatomical Variability, A. BibRef

Tian, Q., Arbel, T.[Tal], Clark, J.J.[James J.],
Deep LDA-Pruned Nets for Efficient Facial Gender Classification,
Biometrics17(512-521)
IEEE DOI 1709
Bayes methods, Biological neural networks, Feature extraction, Neurons, Support vector machines. BibRef

Demirkus, M.[Meltem], Toews, M.[Matthew], Clark, J.J.[James J.], Arbel, T.[Tal],
Gender classification from unconstrained video sequences,
AMFG10(55-62).
IEEE DOI 1006
BibRef

Wu, J.[Jing], Smith, W.A.P.[William A.P.], Hancock, E.R.[Edwin R.],
Facial Gender Classification Using Shape-from-Shading,
IVC(28), No. 6, June 2010, pp. 1039-1048.
Elsevier DOI 1003
BibRef
Earlier:
Gender classification based on facial surface normals,
ICPR08(1-4).
IEEE DOI 0812
BibRef
And:
Supervised Principal Geodesic Analysis on Facial Surface Normals for Gender Classification,
SSPR08(664-673).
Springer DOI 0812
BibRef
And:
Facial Gender Classification Using Shape from Shading and Weighted Principal Geodesic Analysis,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef
Earlier:
Gender Classification using Shape from Shading,
BMVC07(xx-yy).
PDF File. 0709
BibRef
And:
Weighted Principal Geodesic Analysis for Facial Gender Classification,
CIARP07(331-339).
Springer DOI 0711
BibRef
And:
Learning Mixture Models for Gender Classification Based on Facial Surface Normals,
IbPRIA07(I: 39-46).
Springer DOI 0706
BibRef
Earlier:
Gender Classification Using Principal Geodesic Analysis and Gaussian Mixture Models,
CIARP06(58-67).
Springer DOI 0611
Gender classification; Principal geodesic analysis; Shape-from-shading See also Estimating Facial Pose Using Shape-from-Shading. See also Estimating Facial Reflectance Properties Using Shape-from-Shading. See also Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics. See also Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading. BibRef

Wu, J.[Jing], Smith, W.A.P.[William A.P.], Hancock, E.R.[Edwin R.],
Gender discriminating models from facial surface normals,
PR(44), No. 12, December 2011, pp. 2871-2886.
Elsevier DOI 1107
Gender classification; Facial surface normals; Statistical model; Feature extraction; Principal geodesic analysis BibRef

Wu, J.[Jing], Smith, W.A.P., Hancock, E.R., Kawulok, M.[Michal],
Extracting gender discriminating features from facial needle-maps,
ICIP09(2449-2452).
IEEE DOI 0911
BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.],
Hypergraph based information-theoretic feature selection,
PRL(33), No. 15, 1 November 2012, pp. 1991-1999.
Elsevier DOI 1210
BibRef
And:
Hypergraph Spectra for Unsupervised Feature Selection,
SSSPR12(620-628).
Springer DOI 1211
Feature selection; Hypergraph; Multidimensional interaction information (MII); Variational EM algorithm (VBEM) BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.],
Face recognition using semi-supervised spectral feature selection,
ICPR12(1294-1297).
WWW Link. 1302
BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.],
Unsupervised spectral feature selection for face recognition,
ICPR12(1787-1790).
WWW Link. 1302
BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.], Wu, J.[Jing],
An information theoretic approach to gender feature selection,
ITCVPR11(1425-1431).
IEEE DOI 1201
BibRef

Kawulok, M.[Michal], Wu, J.[Jing], Hancock, E.R.[Edwin R.],
Supervised relevance maps for increasing the distinctiveness of facial images,
PR(44), No. 4, April 2011, pp. 929-939.
Elsevier DOI 1101
Face recognition; Gender classification; Feature extraction; Biometrics BibRef

Dickens, M.P.[Matthew P.], Smith, W.A.P.[William A. P.], Wu, J.[Jing], Hancock, E.R.[Edwin R.],
Face Recognition Using Principal Geodesic Analysis and Manifold Learning,
IbPRIA07(I: 426-434).
Springer DOI 0706
See also Recovering Facial Shape Using a Statistical Model of Surface Normal Direction. BibRef

Toderici, G.[George], O'Malley, S.M.[Sean M.], Passalis, G.[George], Theoharis, T.[Theoharis], Kakadiaris, I.A.[Ioannis A.],
Ethnicity- and Gender-based Subject Retrieval Using 3-D Face-Recognition Techniques,
IJCV(89), No. 2-3, September 2010, pp. xx-yy.
Springer DOI 1006
See also Three-Dimensional Face Recognition in the Presence of Facial Expressions: An Annotated Deformable Model Approach. BibRef

Alexandre, L.A.[Luis A.],
Gender recognition: A multiscale decision fusion approach,
PRL(31), No. 11, 1 August 2010, pp. 1422-1427.
Elsevier DOI 1008
Gender recognition; Decision fusion; Histogram of oriented gradients; Local binary patterns BibRef

Hu, Y.[Yuan], Lu, L.[Li], Yan, J.Q.[Jing-Qi], Liu, Z.[Zhi], Shi, P.F.[Peng-Fei],
Sexual Dimorphism Analysis and Gender Classification in 3D Human Face,
IEICE(E93-D), No. 9, September 2010, pp. 2643-2646.
WWW Link. 1003
BibRef

Tang, J., Liu, X., Cheng, H., Robinette, K.M.,
Gender Recognition Using 3-D Human Body Shapes,
SMC-C(41), No. 6, November 2011, pp. 898-908.
IEEE DOI 1110
More than faces. BibRef

Suo, J., Lin, L., Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin], Gao, W.[Wen],
High-Resolution Face Fusion for Gender Conversion,
SMC-A(41), No. 2, March 2011, pp. 226-237.
IEEE DOI 1102
See also Coupled Bias-Variance Tradeoff for Cross-Pose Face Recognition. BibRef

Bekios-Calfa, J.[Juan], Buenaposada, J.M.[Jose M.], Baumela, L.[Luis],
Revisiting Linear Discriminant Techniques in Gender Recognition,
PAMI(33), No. 4, April 2011, pp. 858-864.
IEEE DOI 1103
Review of techniques. BibRef

Bekios-Calfa, J.[Juan], Buenaposada, J.M.[José M.], Baumela, L.[Luis],
Robust gender recognition by exploiting facial attributes dependencies,
PRL(36), No. 1, 2014, pp. 228-234.
Elsevier DOI 1312
BibRef
Earlier:
Alignment-Free Gender Recognition in the Wild,
IbPRIA13(382-389).
Springer DOI 1307
BibRef
Earlier:
Age Regression from Soft Aligned Face Images Using Low Computational Resources,
IbPRIA11(281-288).
Springer DOI 1106
BibRef
And:
On the Importance of Multi-dimensional Information in Gender Estimation from Face Images,
CIARP11(264-271).
Springer DOI 1111
Gender estimation BibRef

Shan, C.F.[Cai-Feng],
Learning local binary patterns for gender classification on real-world face images,
PRL(33), No. 4, March 2012, pp. 431-437.
Elsevier DOI 1201
Gender classification; Local binary patterns; Face image analysis BibRef

Shan, C.F.[Cai-Feng], Gong, S.G.[Shao-Gang], McOwan, P.W.[Peter W.],
Learning gender from human gaits and faces,
AVSBS07(505-510).
IEEE DOI 0709
BibRef

Heo, J.G.[Jin-Gu], Savvides, M.[Marios],
Gender and Ethnicity Specific Generic Elastic Models from a Single 2D Image for Novel 2D Pose Face Synthesis and Recognition,
PAMI(34), No. 12, December 2012, pp. 2341-2350.
IEEE DOI 1210
BibRef
Earlier:
In between 3D Active Appearance Models and 3D Morphable Models,
Biometrics09(20-26).
IEEE DOI 0906
BibRef
Earlier:
Face Recognition Across Pose Using View Based Active Appearance Models (VBAAMs) on CMU Multi-PIE Dataset,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Heo, J.G.,
Generic Elastic Models for 2D Pose Synthesis and Face Recognition,
Ph.D.Thesis, Carnegie Mellon Univ., 2009. See also Unconstrained Pose-Invariant Face Recognition Using 3D Generic Elastic Models. BibRef 0900

Shih, H.C.[Huang-Chia],
Robust gender classification using a precise patch histogram,
PR(46), No. 2, February 2013, pp. 519-528.
Elsevier DOI 1210
Biometric analysis; Gender classification; Active appearance model; Local binary patch; Bayesian classifier; Face recognition; Human-computer interaction BibRef

Stewart, D., Pass, A., Zhang, J.,
Gender classification via lips: static and dynamic features,
IET-Bio(2), No. 1, 2013, pp. 28-34.
DOI Link 1307
BibRef

Andreu, Y.[Yasmina], García-Sevilla, P.[Pedro], Mollineda, R.A.[Ramón A.],
Face gender classification: A statistical study when neutral and distorted faces are combined for training and testing purposes,
IVC(32), No. 1, 2014, pp. 27-36.
Elsevier DOI 1402
Face analysis BibRef

Berbar, M.A.[Mohamed Abdou],
Three robust features extraction approaches for facial gender classification,
VC(30), No. 1, January 2014, pp. 19-31.
WWW Link. 1402
BibRef

Rai, P.[Preeti], Khanna, P.[Pritee],
A gender classification system robust to occlusion using Gabor features based (2D)2PCA,
JVCIR(25), No. 5, 2014, pp. 1118-1129.
Elsevier DOI 1406
Real Gabor space BibRef

Ali, H.[Haider], Tariq, U.U.[Umair Ullah], Abid, M.[Muhammad],
Learning Discriminating Features for Gender Recognition of Real World Faces,
IJIG(14), No. 03, 2014, pp. 1450011.
DOI Link 1410
BibRef

Huang, D.[Di], Ding, H.X.[Hua-Xiong], Wang, C.[Chen], Wang, Y.H.[Yun-Hong], Zhang, G.P.[Guang-Peng], Chen, L.M.[Li-Ming],
Local circular patterns for multi-modal facial gender and ethnicity classification,
IVC(32), No. 12, 2014, pp. 1181-1193.
Elsevier DOI 1402
BibRef
Earlier: A3, A1, A4, A5, Only:
Facial image-based gender classification using Local Circular Patterns,
ICPR12(2432-2435).
WWW Link. 1302
Soft biometrics BibRef

Xia, B.Q.[Bai-Qiang], Ben Amor, B.[Boulbaba], Drira, H.[Hassen], Daoudi, M.[Mohamed], Ballihi, L.[Lahoucine],
Combining face averageness and symmetry for 3D-based gender classification,
PR(48), No. 3, 2015, pp. 746-758.
Elsevier DOI 1412
3D Face BibRef

Jia, S.[Sen], Cristianini, N.[Nello],
Learning to classify gender from four million images,
PRL(58), No. 1, 2015, pp. 35-41.
Elsevier DOI 1505
Big data BibRef

Boutellaa, E.[Elhocine], Hadid, A.[Abdenour], Bengherabi, M.[Messaoud], Ait-Aoudia, S.[Samy],
On the use of Kinect depth data for identity, gender and ethnicity classification from facial images,
PRL(68, Part 2), No. 1, 2015, pp. 270-277.
Elsevier DOI 1512
Face analysis BibRef

Carcagni, P.[Pierluigi], Coco, M.[Marco], Cazzato, D.[Dario], Leo, M.[Marco], Distante, C.[Cosimo],
A study on different experimental configurations for age, race, and gender estimation problems,
JIVP(2015), No. 1, 2015, pp. 37.
DOI Link 1512
BibRef

Hadid, A.[Abdenour], Ylioinas, J.[Juha], Bengherabi, M.[Messaoud], Ghahramani, M.[Mohammad], Taleb-Ahmed, A.[Abdelmalik],
Gender and texture classification: A comparative analysis using 13 variants of local binary patterns,
PRL(68, Part 2), No. 1, 2015, pp. 231-238.
Elsevier DOI 1512
Local binary patterns BibRef

Antipov, G.[Grigory], Berrani, S.A.[Sid-Ahmed], Dugelay, J.L.[Jean-Luc],
Minimalistic CNN-based ensemble model for gender prediction from face images,
PRL(70), No. 1, 2016, pp. 59-65.
Elsevier DOI 1602
Gender recognition from face images BibRef

Antipov, G.[Grigory], Baccouche, M.[Moez], Berrani, S.A.[Sid-Ahmed], Dugelay, J.L.[Jean-Luc],
Effective training of convolutional neural networks for face-based gender and age prediction,
PR(72), No. 1, 2017, pp. 15-26.
Elsevier DOI 1708
Gender, recognition BibRef

Mansanet, J.[Jordi], Albiol, A.[Alberto], Paredes, R.[Roberto],
Local Deep Neural Networks for gender recognition,
PRL(70), No. 1, 2016, pp. 80-86.
Elsevier DOI 1602
Gender recognition BibRef

Zhang, W.H.[Wen-Hao], Smith, M.L.[Melvyn L.], Smith, L.N.[Lyndon N.], Farooq, A.[Abdul],
Gender recognition from facial images: two or three dimensions?,
JOSA-A(33), No. 3, March 2016, pp. 333-344.
DOI Link 1603
Image reconstruction techniques BibRef

Hassanpour, H., Zehtabian, A., Nazari, A., Dehghan, H.,
Gender classification based on fuzzy clustering and principal component analysis,
IET-CV(10), No. 3, 2016, pp. 228-233.
DOI Link 1604
data reduction BibRef

Daneshmand, M.[Morteza], Aabloo, A.[Alvo], Ozcinar, C.[Cagri], Anbarjafari, G.[Gholamreza],
Real-time, automatic shape-changing robot adjustment and gender classification,
SIViP(10), No. 4, April 2016, pp. 753-760.
Springer DOI 1604
BibRef

Gao, Y., Li, Z., Qiao, Y.,
Adaptive Part-Level Model Knowledge Transfer for Gender Classification,
SPLetters(23), No. 6, June 2016, pp. 888-892.
IEEE DOI 1606
Adaptation models BibRef

Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Ramón-Balmaseda, E.[Enrique],
On using periocular biometric for gender classification in the wild,
PRL(82, Part 2), No. 1, 2016, pp. 181-189.
Elsevier DOI 1609
Gender recognition BibRef

Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Ramón-Balmaseda, E.[Enrique],
Descriptors and regions of interest fusion for in- and cross-database gender classification in the wild,
IVC(57), No. 1, 2017, pp. 15-24.
Elsevier DOI 1702
Gender classification BibRef

Moeini, H.[Hossein], Mozaffari, S.[Saeed],
Gender dictionary learning for gender classification,
JVCIR(42), No. 1, 2017, pp. 1-13.
Elsevier DOI 1701
Gender classification BibRef

Castrillón-Santana, M.[Modesto], De Marsico, M.[Maria], Nappi, M.[Michele], Riccio, D.[Daniel],
MEG: Texture operators for multi-expert gender classification,
CVIU(156), No. 1, 2017, pp. 4-18.
Elsevier DOI 1702
BibRef
Earlier:
MEG: Multi-Expert Gender Classification from Face Images in a Demographics-Balanced Dataset,
CIAP15(I:15-26).
Springer DOI 1511
Automatic gender classification BibRef

Azzakhnini, S., Ballihi, L., Aboutajdine, D.,
A learned feature descriptor for efficient gender recognition using an RGB-D sensor,
ISIVC16(29-34)
IEEE DOI 1704
Databases BibRef

Kaya, Y.[Yilmaz], Ertugrul, Ö.F.[Ömer Faruk],
Gender classification from facial images using gray relational analysis with novel local binary pattern descriptors,
SIViP(11), No. 4, May 2017, pp. 769-776.
WWW Link. 1704
BibRef

Pantraki, E.[Evangelia], Kotropoulos, C.[Constantine], Lanitis, A.[Andreas],
Age interval and gender prediction using PARAFAC2 and SVMs based on visual and aural features,
IET-Bio(6), No. 4, July 2017, pp. 290-298.
DOI Link 1707
BibRef

Goel, A.[Anjali], Vishwakarma, V.P.[Virendra P.],
Fractional DCT and DWT hybridization based efficient feature extraction for gender classification,
PRL(95), No. 1, 2017, pp. 8-13.
Elsevier DOI 1708
Fractional discrete cosine transform BibRef

Xia, B.Q.[Bai-Qiang], Ben Amor, B.[Boulbaba], Daoudi, M.[Mohamed],
Joint gender, ethnicity and age estimation from 3D faces: An experimental illustration of their correlations,
IVC(64), No. 1, 2017, pp. 90-102.
Elsevier DOI 1708
3D, face BibRef

Rodríguez, P.[Pau], Cucurull, G.[Guillem], Gonfaus, J.M.[Josep M.], Roca, F.X.[F. Xavier], Gonzàlez, J.[Jordi],
Age and gender recognition in the wild with deep attention,
PR(72), No. 1, 2017, pp. 563-571.
Elsevier DOI 1708
Age, recognition BibRef

Selvam, I.R.P.[Ithaya Rani Panner], Karuppiah, M.[Muneeswaran],
Gender recognition based on face image using reinforced local binary patterns,
IET-CV(11), No. 6, September 2017, pp. 415-425.
DOI Link 1709
BibRef


Srinivas, N., Atwal, H., Rose, D.C., Mahalingam, G., Ricanek, K., Bolme, D.S.,
Age, Gender, and Fine-Grained Ethnicity Prediction Using Convolutional Neural Networks for the East Asian Face Dataset,
FG17(953-960)
IEEE DOI 1707
Face, Face recognition, Feature extraction, Metadata, Neural networks, Sociology, Statistics BibRef

Huang, Y., Liu, S., Hu, J., Deng, W.,
Metric-Promoted Siamese Network for Gender Classification,
FG17(961-966)
IEEE DOI 1707
Convolution, Databases, Face, Feature extraction, Measurement, Testing, Training BibRef

Kuehlkamp, A., Becker, B., Bowyer, K.W.,
Gender-from-Iris or Gender-from-Mascara?,
WACV17(1151-1159)
IEEE DOI 1609
Feature extraction, Image segmentation, Iris, Iris recognition, Support vector machines, Testing, Training BibRef

Tapia, J.E.[Juan E.], Perez, C.A.[Claudio A.], Bowyer, K.W.[Kevin W.],
Gender Classification from Iris Images Using Fusion of Uniform Local Binary Patterns,
SoftBio14(751-763).
Springer DOI 1504
BibRef

Thomas, V., Chawla, N.V., Bowyer, K.W., Flynn, P.J.,
Learning to predict gender from iris images,
BTAS07(1-5).
IEEE DOI 0709
BibRef

Gonzalez-Sosa, E., Dantcheva, A., Vera-Rodriguez, R., Dugelay, J.L., Brémond, F., Fierrez, J.,
Image-based gender estimation from body and face across distances,
ICPR16(3061-3066)
IEEE DOI 1705
Cameras, Databases, Estimation, Face, Feature extraction, Histograms, Support, vector, machines BibRef

Arigbabu, O.A.[Olasimbo Ayodeji], Liao, I.Y.[Iman Yi], Abdullah, N.[Nurliza], Noor, M.H.M.[Mohamad Helmee Mohamad],
Can Computer Vision Techniques be Applied to Automated Forensic Examinations? A Study on Sex Identification from Human Skulls Using Head CT Scans,
ACCV16(IV: 342-359).
Springer DOI 1704
BibRef

Jalal, A.[Ahsan], Tariq, U.[Usman],
The LFW-Gender Dataset,
CV4AC16(III: 531-540).
Springer DOI 1704
Dataset, Gender. BibRef

Bianconi, F., Smeraldi, F., Abdollahyan, M., Xiao, P.,
On the use of skin texture features for gender recognition: An experimental evaluation,
IPTA16(1-6)
IEEE DOI 1703
image recognition BibRef

Zhang, K., Tan, L., Li, Z., Qiao, Y.,
Gender and Smile Classification Using Deep Convolutional Neural Networks,
ChaLearn16(739-743)
IEEE DOI 1612
BibRef

Uricár, M., Timofte, R.[Radu], Rothe, R.[Rasmus], Matas, J.[Jirí], Van Gool, L.J.,
Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features,
ChaLearn16(730-738)
IEEE DOI 1612
BibRef

Juefei-Xu, F.[Felix], Verma, E., Goel, P., Cherodian, A., Savvides, M.,
DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention,
Biometrics16(136-145)
IEEE DOI 1612
BibRef

Leo, M.[Marco], Del Coco, M.[Marco], Carcagnì, P.[Pierluigi], Mazzeo, P.L.[Pier Luigi], Spagnolo, P.[Paolo], Distante, C.[Cosimo],
Intelligent Vision System for ASD Diagnosis and Assessment,
ACIVS16(534-546).
Springer DOI 1611
BibRef

Del Coco, M.[Marco], Carcagnì, P.[Pierluigi], Leo, M.[Marco], Mazzeo, P.L.[Pier Luigi], Spagnolo, P.[Paolo],
Assessment of deep learning for gender classification on traditional datasets,
AVSS16(271-277)
IEEE DOI 1611
Databases BibRef

Kakadiaris, I.A., Sarafianos, N., Nikou, C.,
Show me your body: Gender classification from still images,
ICIP16(3156-3160)
IEEE DOI 1610
Biomedical measurement BibRef

Azzopardi, G.[George], Greco, A.[Antonio], Vento, M.[Mario],
Gender recognition from face images with trainable COSFIRE filters,
AVSS16(235-241)
IEEE DOI 1611
BibRef
And:
Gender Recognition from Face Images Using a Fusion of SVM Classifiers,
ICIAR16(533-538).
Springer DOI 1608
Face BibRef

Mehta, R.[Rakesh], Günther, M.[Manuel], Marcel, S.[Sébastien],
Gender Classification by LUT Based Boosting of Overlapping Block Patterns,
SCIA15(530-542).
Springer DOI 1506
BibRef

Ezghari, S., Belghini, N., Zahi, A., Zarghili, A.,
A gender classification approach based on 3D depth-radial curves and fuzzy similarity based classification,
ISCV15(1-6)
IEEE DOI 1506
face recognition BibRef

Ren, H.[Haoyu], Li, Z.N.[Ze-Nian],
Age Estimation Based on Complexity-Aware Features,
ACCV14(I: 115-128).
Springer DOI 1504
See also Gender Recognition Using Complexity-Aware Local Features. BibRef

Khryashchev, V., Priorov, A., Ganin, A.,
Gender and age recognition for video analytics solution,
AIPR14(1-6)
IEEE DOI 1504
age issues BibRef

Othman, A.[Asem], Ross, A.[Arun],
Privacy of Facial Soft Biometrics: Suppressing Gender But Retaining Identity,
SoftBio14(682-696).
Springer DOI 1504
BibRef

Xia, B.Q.[Bai-Qiang], Ben Amor, B.[Boulbaba], Daoudi, M.[Mohamed],
Exploring the Magnitude of Human Sexual Dimorphism in 3D Face Gender Classification,
SoftBio14(697-710).
Springer DOI 1504
BibRef

Borgi, M.A.[Mohamed Anouar], El'Arbi, M.[Maher], Labate, D.[Demetrio], Ben Amar, C.[Chokri],
Face, gender and race classification using multi-regularized features learning,
ICIP14(5277-5281)
IEEE DOI 1502
Classification algorithms BibRef

Liu, H.[Hong], Gao, Y.[Yuan], Wang, C.[Can],
Gender Identification in Unconstrained Scenarios Using Self-Similarity of Gradients Features,
ICIP14(5911-5915)
IEEE DOI 1502
Computer vision See also Smile Detection in Unconstrained Scenarios Using Self-Similarity of Gradients Features. BibRef

Gilani, S.Z.[Syed Zulqarnain], Mian, A.S.[Ajmal S.],
Perceptual Differences between Men and Women: A 3D Facial Morphometric Perspective,
ICPR14(2413-2418)
IEEE DOI 1412
Accuracy BibRef

Gilani, S.Z., Shafait, F., Mian, A.S.,
Biologically Significant Facial Landmarks: How Significant Are They for Gender Classification?,
DICTA13(1-8)
IEEE DOI 1402
face recognition BibRef

Danisman, T.[Taner], Bilasco, I.M.[Ioan Marius], Djeraba, C.[Chabane],
Cross-Database Evaluation of Normalized Raw Pixels for Gender Recognition under Unconstrained Settings,
ICPR14(3144-3149)
IEEE DOI 1412
Accuracy BibRef

Satta, R.[Riccardo], Galbally, J.[Javier], Beslay, L.[Laurent],
Children Gender Recognition Under Unconstrained Conditions Based on Contextual Information,
ICPR14(357-362)
IEEE DOI 1412
Accuracy BibRef

Iglesias, F.S.[Florencia Soledad], Buemi, M.E.[María Elena], Acevedo, D.[Daniel], Jacobo-Berlles, J.[Julio],
Evaluation of Keypoint Descriptors for Gender Recognition,
CIARP14(564-571).
Springer DOI 1411
BibRef

Kaya, T.G.[Tunç Güven], Firat, E.[Engin],
Multi-view Face Detection with One Classifier for Video Analytics Systems,
VAAM14(97-108).
Springer DOI 1411
BibRef

Kaya, T.G.[Tunç Güven], Firat, E.[Engin],
Comparison of Facial Alignment Techniques: With Test Results on Gender Classification Task,
VAAM14(86-96).
Springer DOI 1411
BibRef

Mansanet, J.[Jordi], Albiol, A.[Alberto], Paredes, R.[Roberto], Villegas, M.[Mauricio], Albiol, A.[Antonio],
Restricted Boltzmann Machines for Gender Classification,
ICIAR14(I: 274-281).
Springer DOI 1410
BibRef

Mahalingam, G., Ricanek, K.,
Investigating the effects of gender and age group based differences in identical twins,
NCVPRIPG13(1-4)
IEEE DOI 1408
face recognition BibRef

Li, M.[Min], Bao, S.H.[Sheng-Hua], Dong, W.[Weishan], Wang, Y.[Yu], Su, Z.[Zhong],
Head-shoulder based gender recognition,
ICIP13(2753-2756)
IEEE DOI 1402
gender recognition;head-shoulder BibRef

Hassaine, A., Maadeed, S.A.[S. Al], Aljaam, J., Jaoua, A.,
ICDAR 2013 Competition on Gender Prediction from Handwriting,
ICDAR13(1417-1421)
IEEE DOI 1312
Handwriting. gender issues BibRef

El-Din, Y.S.[Yomna Safaa], Moustafa, M.N.[Mohamed N.],
Landmarks-SIFT Face Representation for Gender Classification,
CIAP13(II:329-338).
Springer DOI 1309
BibRef

Ding, H.X.[Hua-Xiong], Huang, D.[Di], Wang, Y.H.[Yun-Hong], Chen, L.M.[Li-Ming],
Facial ethnicity classification based on boosted local texture and shape descriptions,
FG13(1-6)
IEEE DOI 1309
computational geometry BibRef

Xia, B.[Baiqiang], Amor, B.B.[B. Ben], Drira, H., Daoudi, M., Ballihi, L.,
Gender and 3D facial symmetry: What's the relationship?,
FG13(1-6)
IEEE DOI 1309
face recognition BibRef

Cabedo, Y.A.[Yasmina Andreu],
Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification,
CAIP13(204-211).
Springer DOI 1308
BibRef

Huynh, T.[Tri], Min, R.[Rui], Dugelay, J.L.[Jean-Luc],
An Efficient LBP-Based Descriptor for Facial Depth Images Applied to Gender Recognition Using RGB-D Face Data,
CVLBP12(I:133-145).
Springer DOI 1304
BibRef

Guo, Z.X.[Zhou-Xiao], Bai, X.[Xiao], Zhang, Z.H.[Zhi-Hong], Zhou, J.[Jun],
A hypergraph based semi-supervised band selection method for hyperspectral image classification,
ICIP13(3137-3141)
IEEE DOI 1402
Band selection BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.], Ren, P.[Peng],
Hypergraph based semi-supervised learning for gender classification,
ICPR12(1747-1750).
WWW Link. 1302
BibRef

Martín-Félez, R.[Raúl], Mollineda, R.A.[Ramón A.], Sánchez, J.S.[J. Salvador],
Gender Classification from Pose-Based GEIs,
ICCVG12(501-508).
Springer DOI 1210
BibRef

Grosso, E.[Enrico], Lagorio, A.[Andrea], Pulina, L.[Luca], Tistarelli, M.[Massimo],
Understanding Critical Factors in Appearance-Based Gender Categorization,
Face12(II: 280-289).
Springer DOI 1210
BibRef

Fagertun, J.[Jens], Andersen, T.[Tobias], Paulsen, R.R.[Rasmus Reinhold],
Gender Recognition Using Cognitive Modeling,
Face12(II: 300-308).
Springer DOI 1210
BibRef

Castrillón-Santana, M.[Modesto], Lorenzo-Navarro, J.[Javier], Ramón-Balmaseda, E.[Enrique],
Fusion of Holistic and Part Based Features for Gender Classification in the Wild,
BioFor15(43-50).
Springer DOI 1511
BibRef
Earlier:
Improving Gender Classification Accuracy in the Wild,
CIARP13(II:270-277).
Springer DOI 1311
BibRef
Earlier: A3, A2, A1:
Gender Classification in Large Databases,
CIARP12(74-81).
Springer DOI 1209
BibRef

Mirza, A.M.[Anwar M.], Hussain, M.[Muhammad], Almuzaini, H.[Huda], Muhammad, G.[Ghulam], Aboalsamh, H.[Hatim],
Gender Recognition Using Fusion of Local and Global Facial Features,
ISVC13(II:493-502).
Springer DOI 1311
BibRef

Hussain, M.[Muhammad], Al-Otaibi, S.[Sarah], Muhammad, G.[Ghulam], Aboalsamh, H.[Hatim], Bebis, G.N.[George N.],
Gender Recognition Using Nonsubsampled Contourlet Transform and WLD Descriptor,
SCIA13(373-383).
Springer DOI 1311
BibRef

Ullah, I.[Ihsan], Hussain, M.[Muhammad], Aboalsamh, H.[Hatim], Muhammad, G.[Ghulam], Mirza, A.M.[Anwar M.], Bebis, G.N.[George N.],
Gender Recognition from Face Images with Dyadic Wavelet Transform and Local Binary Pattern,
ISVC12(II: 409-419).
Springer DOI 1209
BibRef

Zhou, L.B.[Lu-Bing], Wang, H.[Han],
Local gradient increasing pattern for facial expression recognition,
ICIP12(2601-2604).
IEEE DOI 1302
BibRef
And:
Local Gradient Increasing Pattern (LGIP) for Facial Representation and Gender Recognition,
ICIAR12(II: 46-53).
Springer DOI 1206
BibRef

Dago-Casas, P.[Pablo], Gonzalez-Jimenez, D.[Daniel], Yu, L.L.[Long Long], Alba-Castro, J.L.[Jose Luis],
Single- and cross- database benchmarks for gender classification under unconstrained settings,
BenchFace11(2152-2159).
IEEE DOI 1201
Dataset, Faces. BibRef

Rojas-Bello, R.N., Lago-Fernandez, L.F., Martinez-Munoz, G., Sdnchez-Montanes, M.A.,
A comparison of techniques for robust gender recognition,
ICIP11(561-564).
IEEE DOI 1201
BibRef

Lin, S.J.[Shen-Ju], Huang, C.L.[Chung-Lin], Hsu, S.C.[Shih-Chung],
Gender Identification Using Feature Patch-Based Bayesian Classifier,
PSIVT11(II: 116-127).
Springer DOI 1111
BibRef

Bui, L.[Len], Tran, D.[Dat], Huang, X.[Xu], Chetty, G.[Girija],
Classification of gender and face based on gradient faces,
EUVIP11(269-272).
IEEE DOI 1110
BibRef

Manesh, F.S., Ghahramani, M., Tan, Y.P.,
Facial part displacement effect on template-based gender and ethnicity classification,
ICARCV10(1644-1649).
IEEE DOI 1109
BibRef

Ross, A.A.[Arun A.], Chen, C.J.[Cun-Jian],
Can Gender Be Predicted from Near-Infrared Face Images?,
ICIAR11(II: 120-129).
Springer DOI 1106
BibRef

Zhang, Z.H.[Zhi-Hong], Hancock, E.R.[Edwin R.],
Localized Graph-Based Feature Selection for Clustering,
ICIAR12(I: 1-10).
Springer DOI 1206
BibRef
Earlier:
A Hypergraph-Based Approach to Feature Selection,
CAIP11(I: 228-235).
Springer DOI 1109
BibRef
And:
Feature Selection for Gender Classification,
IbPRIA11(76-83).
Springer DOI 1106
BibRef
And:
A Graph-Based Approach to Feature Selection,
GbRPR11(205-214).
Springer DOI 1105
BibRef

Shan, C.F.[Cai-Feng],
Gender Classification on Real-Life Faces,
ACIVS10(II: 323-331).
Springer DOI 1012
BibRef

Castrillon-Santana, M., Lorenzo-Navarro, J.[Javier], Freire, D., Deniz-Suarez, O.,
Learning to recognize gender using experience,
ICIP10(4533-4536).
IEEE DOI 1009
BibRef

Lee, P.H.[Ping-Han], Hung, J.Y.[Jui-Yu], Hung, Y.P.[Yi-Ping],
Automatic Gender Recognition Using Fusion of Facial Strips,
ICPR10(1140-1143).
IEEE DOI 1008
BibRef

Mozaffari, S.[Saeed], Behravan, H.[Hamid], Akbari, R.[Rohollah],
Gender Classification Using Single Frontal Image Per Person: Combination of Appearance and Geometric Based Features,
ICPR10(1192-1195).
IEEE DOI 1008
BibRef

Shobeirinejad, A.[Ameneh], Gao, Y.S.[Yong-Sheng],
Gender Classification Using Interlaced Derivative Patterns,
ICPR10(1509-1512).
IEEE DOI 1008
BibRef

Chu, W.S.[Wen-Sheng], Huang, C.R.[Chun-Rong], Chen, C.S.[Chu-Song],
Identifying Gender from Unaligned Facial Images by Set Classification,
ICPR10(2636-2639).
IEEE DOI 1008
BibRef

Wang, J.G.[Jian-Gang], Li, J.[Jun], Lee, C.Y.[Chong Yee], Yau, W.Y.[Wei-Yun],
Dense SIFT and Gabor descriptors-based face representation with applications to gender recognition,
ICARCV10(1860-1864).
IEEE DOI 1109
BibRef

Wang, J.G.[Jian-Gang], Li, J.[Jun], Yau, W.Y.[Wei-Yun], Sung, E.[Eric],
Boosting dense SIFT descriptors and shape contexts of face images for gender recognition,
Biometrics10(96-102).
IEEE DOI 1006
BibRef

Li, X.[Xiong], Zhao, X.[Xu], Fu, Y.[Yun], Liu, Y.C.[Yun-Cai],
Bimodal gender recognition from face and fingerprint,
CVPR10(2590-2597).
IEEE DOI 1006
BibRef

Guo, G.D.[Guo-Dong], Mu, G.W.[Guo-Wang], Fu, Y.[Yun],
Gender from Body: A Biologically-Inspired Approach with Manifold Learning,
ACCV09(III: 236-245).
Springer DOI 0909
BibRef

Qiu, H.N.[Hui-Ning], Liu, W.Q.[Wan-Quan], Lai, J.H.[Jian-Huang],
Gender Recognition via Locality Preserving Tensor Analysis on Face Images,
ACCV09(III: 601-610).
Springer DOI 0909
BibRef

Wu, J.[Jing], Smith, W.A.P.[William A. P.], Hancock, E.R.[Edwin R.],
Semi-supervised Feature Selection for Gender Classification,
ACCV09(II: 23-33).
Springer DOI 0909
BibRef

Hwang, W.J.[Won-Jun], Ren, H.B.[Hai-Bing], Kim, H.W.[Hyun-Woo], Kee, S.C.[Seok-Cheol], Kim, J.[Junmo],
Face recognition using gender information,
ICIP09(4129-4132).
IEEE DOI 0911
BibRef

Prince, S.J.D.[Simon J.D.], Aghajanian, J.[Jania],
Gender classification in uncontrolled settings using additive logistic models,
ICIP09(2557-2560).
IEEE DOI 0911
BibRef

Tariq, U.[Usman], Hu, Y.X.[Yu-Xiao], Huang, T.S.[Thomas S.],
Gender and ethnicity identification from silhouetted face profiles,
ICIP09(2441-2444).
IEEE DOI 0911
BibRef

Li, Z.[Zhen], Zhou, X.[Xi], Huang, T.S.[Thomas S.],
Spatial Gaussian Mixture Model for gender recognition,
ICIP09(45-48).
IEEE DOI 0911
BibRef

Collins, M.[Matthew], Zhang, J.G.[Jian-Guo], Miller, P.[Paul], Wang, H.B.[Hong-Bin],
Full body image feature representations for gender profiling,
VS09(1235-1242).
IEEE DOI 0910
BibRef

Wu, B.[Bo], Ai, H.Z.[Hai-Zhou], Huang, C.[Chang],
LUT-Based AdaBoost for Gender Classification,
AVBPA03(104-110).
Springer DOI 0310
BibRef

Stewart, D.[Darryl], Wang, H.B.[Hong-Bin], Shen, J.[Jiali], Miller, P.[Paul],
Investigations into the Robustness of Audio-Visual Gender Classification to Background Noise and Illumination Effects,
DICTA09(168-174).
IEEE DOI 0912
BibRef

Andreu, Y.[Yasmina], Lopez-Centelles, J.[Josep], Mollineda, R.A.[Ramon A.], Garcia-Sevilla, P.[Pedro],
Analysis of the Effect of Image Resolution on Automatic Face Gender Classification,
ICPR14(273-278)
IEEE DOI 1412
Accuracy BibRef

Andreu, Y.[Yasmina], García-Sevilla, P.[Pedro], Mollineda, R.A.[Ramón A.],
Dealing with Inaccurate Face Detection for Automatic Gender Recognition with Partially Occluded Faces,
CIARP09(749-757).
Springer DOI 0911
BibRef

Gao, W.[Wei], Ai, H.Z.[Hai-Zhou],
Face Gender Classification on Consumer Images in a Multiethnic Environment,
ICB09(169-178).
Springer DOI 0906
BibRef

Yang, Z.G.[Zhi-Guang], Li, M.[Ming], Ai, H.Z.[Hai-Zhou],
An Experimental Study on Automatic Face Gender Classification,
ICPR06(III: 1099-1102).
IEEE DOI 0609
BibRef

Mayo, M.[Michael], Zhang, E.[Edmond],
Improving face gender classification by adding deliberately misaligned faces to the training data,
IVCNZ08(1-5).
IEEE DOI 0811
BibRef

Kotti, M.[Margarita], Kotropoulos, C.[Constantine],
Gender classification in two Emotional Speech databases,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Xu, Z.[Ziyi], Lu, L.[Li], Shi, P.F.[Peng-Fei],
A hybrid approach to gender classification from face images,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Scalzo, F.[Fabien], Bebis, G.N.[George N.], Nicolescu, M.[Mircea], Loss, L.A.[Leandro A.], Tavakkoli, A.[Alireza],
Feature Fusion Hierarchies for gender classification,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Leng, X.M.[Xue-Ming], Wang, Y.D.[Yi-Ding],
Improving generalization for gender classification,
ICIP08(1656-1659).
IEEE DOI 0810
BibRef

Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Estimating age, gender, and identity using first name priors,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Andreu, Y.[Yasmina], Mollineda, R.A.[Ramón A.], García-Sevilla, P.[Pedro],
Gender Recognition from a Partial View of the Face Using Local Feature Vectors,
IbPRIA09(481-488).
Springer DOI 0906
BibRef

Andreu, Y.[Yasmina], Mollineda, R.A.[Ramón A.],
On the Complementarity of Face Parts for Gender Recognition,
CIARP08(252-260).
Springer DOI 0809
BibRef
And:
The Role of Face Parts in Gender Recognition,
ICIAR08(xx-yy).
Springer DOI 0806
BibRef

Xu, X.[Xun], Huang, T.S.[Thomas S.],
SODA-Boosting and Its Application to Gender Recognition,
AMFG07(193-204).
Springer DOI 0710
BibRef

Castrillón-Santana, M.[Modesto], Vuong, Q.C.[Quoc C.],
An Analysis of Automatic Gender Classification,
CIARP07(271-280).
Springer DOI 0711
BibRef

Verschae, R.[Rodrigo], Ruiz-del-Solar, J.[Javier], Correa, M.[Mauricio],
Gender Classification of Faces Using Adaboost,
CIARP06(68-78).
Springer DOI 0611
BibRef

Tivive, F.H.C.[Fok Hing Chi], Bouzerdoum, A.[Abdesselam],
A Shunting Inhibitory Convolutional Neural Network for Gender Classification,
ICPR06(IV: 421-424).
IEEE DOI 0609
BibRef

Lapedriza, A.[Agata], Maryn-Jimenez, M.J.[Manuel J.], Vitria, J.[Jordi],
Gender Recognition in Non Controlled Environments,
ICPR06(III: 834-837).
IEEE DOI 0609
BibRef

Ben Abdelkader, C.[Chiraz], Griffin, P.A.[Paul A.],
A Local Region-based Approach to Gender Classification From Face Images,
LCV05(III: 52-52).
IEEE DOI 0507
See also Comparing and combining depth and texture cues for face recognition. BibRef

Okada, Y., Ohzu, M., Sakurai, T., Inaba, M., Akamatsu, S.,
Automatic Impression Transformation of Faces in 3D Shape: A Perceptual Comparison with Processing on 2D Images,
FGR06(535-540).
IEEE DOI 0604
Transform faces along gender variations. BibRef

Saatci, Y., Town, C.,
Cascaded Classification of Gender and Facial Expression using Active Appearance Models,
FGR06(393-400).
IEEE DOI 0604
BibRef

Lu, X.G.[Xiao-Guang], Chen, H.[Hong], Jain, A.K.[Anil K.],
Multimodal Facial Gender and Ethnicity Identification,
ICB06(554-561).
Springer DOI 0601
BibRef

Nishino, S., Sachiyo, I., Matsuda, A.,
Gender determining method using thermography,
ICIP04(V: 2961-2964).
IEEE DOI 0505
BibRef

Costen, N.P., Brown, M., Akamatsu, S.,
Sparse models for gender classification,
AFGR04(201-206).
WWW Link. 0411
BibRef

Costen, N.P., Brown, M.,
Exploratory Sparse Models for Face Recognition,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

Kawano, T., Kato, K., Yamamoto, K.,
A comparison of the gender differentiation capability between facial parts,
ICPR04(I: 350-353).
IEEE DOI 0409
BibRef

Jain, A.K., Huang, J.,
Integrating independent components and support vector machines for gender classification,
ICPR04(III: 558-561).
IEEE DOI 0409
BibRef
And:
Integrating independent components and linear discriminant analysis for gender classification,
AFGR04(159-163).
WWW Link. 0411
BibRef

Liu, Y., Mitra, S.,
A Quantified Study of Facial Asymmetry and Gender Difference,
CMU-RI-TR-03-09, April, 2003.
HTML Version. 0306
BibRef

Sun, Z.H.[Ze-Hang], Bebis, G.N., Yuan, X.J.[Xiao-Jing], Louis, S.J.,
Genetic feature subset selection for gender classification: A comparison study,
WACV02(165-170).
WWW Link. 0303
BibRef

Graf, A.B.A.[Arnulf B.A.], Wichmann, F.A.[Felix A.],
Gender Classification of Human Faces,
BMCV02(491 ff.).
Springer DOI 0303
BibRef

Gutta, S., Wechsler, H., Phillips, P.J.,
Gender and Ethnic Classification of Face Images,
AFGR98(194-199).
IEEE DOI BibRef 9800

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Analysis -- Find and Use Features, Facial Features .


Last update:Sep 22, 2017 at 21:00:01