21.3.6 Facial Expressions and Emotion Analysis and Description

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21.3.6.1 Face Expression Recognition and Analysis, Facial Expression Analysis, Facial Expressions

Chapter Contents (Back)
Facial Expressions. Face Recognition. Application, Faces. Faces, Expression. Expressions. Emotions recognition is listed separately. Micro Expressions: See also Micro Expressions, Subtle Expressions, Face Expression Recognition. Spatio-Temporal: See also Sptatio-Temporal Analysis for Face Expression Recognition. Applied: See also Face Expression Recognition for Human Comupter Interaction. See also Emotion Recognition from Face Images. See also Face Animation, Video Face Synthesis.

Oulu-CASIA NIR&VIS facial expression database,
2008.
WWW Link. Dataset, Facial Expressions. 6 typical expressions from 80 subjects.

Valstar, M.F.[Michel F.], Mehu, M.[Marc], Jiang, B.[Bihan], Pantic, M.[Maja], Scherer, K.[Klaus],
Meta-Analysis of the First Facial Expression Recognition Challenge,
SMC-B(42), No. 4, August 2012, pp. 966-979.
IEEE DOI 1208
BibRef
Earlier: A1, A3, A2, A4, A5:
The first facial expression recognition and analysis challenge,
FG11(921-926).
IEEE DOI 1103
BibRef

Valstar, M.F.[Michel F.], Sánchez-Lozano, E.[Enrique], Cohn, J.F.[Jeffrey F.], Jeni, L.A.[László A.], Girard, J.M.[Jeffrey M.], Zhang, Z.[Zheng], Yin, L.J.[Li-Jun], Pantic, M.[Maja],
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,
FG17(839-847)
IEEE DOI 1707
Cameras, Databases, Estimation, Face, Face recognition, Gold, Three-dimensional, displays BibRef

Honda, N.[Nakaji], Sugimoto, F.[Futoshi],
Multivariate data representation and analysis by face pattern using facial expression characteristics,
PR(19), No. 1, 1986, pp. 85-94.
Elsevier DOI 0309
BibRef

Dubuisson, S.[Séverine], Davoine, F.[Franck], Masson, M.,
A solution for facial expression representation and recognition,
SP:IC(17), No. 9, October 2002, pp. 657-673.
Elsevier DOI 0211
BibRef

Dubuisson, S.[Séverine], Davoine, F.[Franck], Cocquerez, J.P.[Jean-Pierre],
Automatic Facial Feature Extraction and Facial Expression Recognition,
AVBPA01(121).
Springer DOI 0310
BibRef

Chen, X.W.[Xue-Wen], Huang, T.S.[Thomas S.],
Facial expression recognition: A clustering-based approach,
PRL(24), No. 9-10, June 2003, pp. 1295-1302.
Elsevier DOI 0304
BibRef

Zhang, Y.M.[Yong-Mian], Ji, Q.A.[Qi-Ang],
Active and Dynamic Information Fusion for Facial Expression Understanding from Image Sequences,
PAMI(27), No. 5, May 2005, pp. 699-714.
IEEE Abstract. 0501
BibRef
Earlier:
Facial expression understanding in image sequences using dynamic and active visual information fusion,
ICCV03(1297-1304).
IEEE DOI 0311
Fusion with Bayes Nets. Track with active IR. Temporal model of expression BibRef

Zhang, Y.M.[Yong-Mian], Ji, Q.A.[Qi-Ang],
Efficient Sensor Selection for Active Information Fusion,
SMC-B(40), No. 3, June 2010, pp. 719-728.
IEEE DOI 1006
BibRef

Gu, H.S.[Hai-Song], Ji, Q.A.[Qi-Ang],
Information extraction from image sequences of real-world facial expressions,
MVA(16), No. 2, February 2005, pp. 105-115.
Springer DOI 0501
BibRef

Chang, Y.[Ya], Hu, C.B.[Chang-Bo], Feris, R.S.[Rogerio S.], Turk, M.A.[Matthew A.],
Manifold Based Analysis of Facial Expression,
IVC(24), No. 6, 1 June 2006, pp. 605-614.
Elsevier DOI 0606
BibRef
Earlier: A2, A1, A3, A4: FaceVideo04(81).
IEEE DOI 0502
BibRef
Earlier: A1, A2, A4, Only:
Probabilistic expression analysis on manifolds,
CVPR04(II: 520-527).
IEEE DOI 0408
BibRef
Earlier: A1, A2, A4, Only:
Manifold of facial expression,
AMFG03(28-35).
IEEE Abstract. 0311
BibRef

Suzuki, K.[Kenji], Yamada, H.[Hiroshi], Hashimoto, S.[Shuji],
A similarity-based neural network for facial expression analysis,
PRL(28), No. 9, 1 July 2007, pp. 1104-1111.
Elsevier DOI 0704
Similarity-based neural network; Multidimensional perceptual scaling; Facial expressions; Stable dynamic parameter adaptation; Nonlinear mapping BibRef

Kim, D.H.[Do Hyoung], Jung, S.U.[Sung Uk], Chung, M.J.[Myung Jin],
Extension of cascaded simple feature based face detection to facial expression recognition,
PRL(29), No. 11, 1 August 2008, pp. 1621-1631.
Elsevier DOI 0804
Rectangle feature; Feature selection; Facial expression recognition; AdaBoost; Pattern classification BibRef

Kim, D.H.[Do Hyoung], Kim, D.Y.[Do-Yoon], Chung, M.J.[Myung Jin],
An active vision system with facial expressions,
ICARCV04(II: 1553-1558).
IEEE DOI 0412
BibRef

Zhang, Y.M.[Yong-Mian], Ji, Q.A.[Qi-Ang], Zhu, Z., Yi, B.,
Dynamic Facial Expression Analysis and Synthesis With MPEG-4 Facial Animation Parameters,
CirSysVideo(18), No. 10, October 2008, pp. 1383-1396.
IEEE DOI 0811
BibRef

Zhi, R.C.[Rui-Cong], Ruan, Q.Q.[Qiu-Qi], Wu, J.Y.[Ji-Ying],
Dual Two-Dimensional Fuzzy Class Preserving Projections for Facial Expression Recognition,
IEICE(E91-D), No. 12, December 2008, pp. 2880-2883.
DOI Link 0804
BibRef

Zhi, R.C.[Rui-Cong], Ruan, Q.Q.[Qiu-Qi], Miao, Z.J.[Zhen-Jiang],
Fuzzy discriminant projections for facial expression recognition,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Zhi, R.C.[Rui-Cong], Ruan, Q.Q.[Qiu-Qi],
Discriminant spectral analysis for facial expression recognition,
ICIP08(1924-1927).
IEEE DOI 0810
BibRef

Xiao, R.[Rui], Zhao, Q.J.[Qi-Jun], Zhang, D.[David], Shi, P.F.[Peng-Fei],
Facial expression recognition on multiple manifolds,
PR(44), No. 1, January 2011, pp. 107-116.
Elsevier DOI 1003
Facial expression recognition; Classification; Multiple manifolds BibRef

Zhi, R.C.[Rui-Cong], Flierl, M.[Markus], Ruan, Q.Q.[Qiu-Qi], Kleijn, W.B.[W. Bastiaan],
Graph-Preserving Sparse Nonnegative Matrix Factorization With Application to Facial Expression Recognition,
SMC-B(41), No. 1, February 2011, pp. 38-52.
IEEE DOI 1102
BibRef
Earlier:
Facial expression recognition based on graph-preserving sparse non-negative matrix factorization,
ICIP09(3293-3296).
IEEE DOI 0911
BibRef

Dornaika, F., Lazkano, E., Sierra, B.,
Improving dynamic facial expression recognition with feature subset selection,
PRL(32), No. 5, 1 April 2011, pp. 740-748.
Elsevier DOI 1103
Dynamic facial expression recognition; Feature subset selection; Estimation of Distribution Algorithms; Machine learning approaches; Wrapper technique BibRef

Gu, W.[Wenfei], Xiang, C.[Cheng], Venkatesh, Y.V., Huang, D.[Dong], Lin, H.[Hai],
Facial expression recognition using radial encoding of local Gabor features and classifier synthesis,
PR(45), No. 1, January 2012, pp. 80-91.
Elsevier DOI 1109
Facial expression recognition; Radial grid encoding; Fisher linear discriminant; Classifier synthesis; Gabor filter; Human visual cortex BibRef

Zhang, L.G.[Li-Gang], Tjondronegoro, D.[Dian],
Facial Expression Recognition Using Facial Movement Features,
AffCom(2), No. 4, 2011, pp. 219-229.
IEEE DOI 1202
See also Heteroscedastic probabilistic linear discriminant analysis for manifold learning in video-based face recognition. BibRef

Zhang, L.G.[Li-Gang], Tjondronegoro, D.[Dian], Chandran, V.[Vinod],
Facial expression recognition experiments with data from television broadcasts and the World Wide Web,
IVC(32), No. 2, 2014, pp. 107-119.
Elsevier DOI 1403
BibRef
And:
Evaluation of Texture and Geometry for Dimensional Facial Expression Recognition,
DICTA11(620-626).
IEEE DOI 1205
Facial expression recognition BibRef

Jarlier, S., Grandjean, D., Delplanque, S., N'Diaye, K., Cayeux, I., Velazco, M.I., Sander, D., Vuilleumier, P., Scherer, K.R.,
Thermal Analysis of Facial Muscles Contractions,
AffCom(2), No. 1, 2011, pp. 2-9.
IEEE DOI 1202
BibRef

Chew, S.W.[Sien W.], Lucey, P.[Patrick], Lucey, S.[Simon], Saragih, J.M.[Jason M.], Cohn, J.F.[Jeffrey F.], Matthews, I., Sridharan, S.[Sridha],
In the Pursuit of Effective Affective Computing: The Relationship Between Features and Registration,
SMC-B(42), No. 4, August 2012, pp. 1006-1016.
IEEE DOI 1208
BibRef
Earlier: A1, A3, A2, A7, A5, Only:
Improved facial expression recognition via uni-hyperplane classification,
CVPR12(2554-2561).
IEEE DOI 1208
BibRef
Earlier: A1, A2, A3, A4, A5, A7, Only:
Person-independent facial expression detection using Constrained Local Models,
FG11(915-920).
IEEE DOI 1103
BibRef

Chew, S.W.[Sien W.], Rana, R., Lucey, P.[Patrick], Lucey, S.[Simon], Sridharan, S.[Sridha],
Sparse Temporal Representations for Facial Expression Recognition,
PSIVT11(II: 311-322).
Springer DOI 1111
BibRef

Girard, J.M.[Jeffrey M.], Cohn, J.F.[Jeffrey F.],
Criteria and metrics for thresholded AU detection,
BenchFace11(2191-2197).
IEEE DOI 1201
BibRef

Liu, S.[Shuai], Ruan, Q.Q.[Qiu-Qi], Wang, C.T.[Chuan-Tao], An, G.Y.[Gao-Yun],
Tensor rank one differential graph preserving analysis for facial expression recognition,
IVC(30), No. 8, August 2012, pp. 535-545.
Elsevier DOI 1209
Dimensionality reduction; Differential graph preserving; Rank-one tensor; Tensor rank-one decomposition; Facial expression recognition BibRef

Zhi, R.C.[Rui-Cong], Ruan, Q.Q.[Qiu-Qi], Wang, Z.F.[Zhi-Fei],
Facial Expression Recognition via Sparse Representation,
IEICE(E95-D), No. 9, September 2012, pp. 2347-2350.
WWW Link. 1209
BibRef

Dhall, A.[Abhinav], Goecke, R.[Roland], Lucey, S.[Simon], Gedeon, T.[Tom],
Collecting Large, Richly Annotated Facial-Expression Databases from Movies,
MultMedMag(19), No. 3, 2012, pp. 34-41.
IEEE DOI 1209
Dateset, Facial Expressions. BibRef

Al Zoubi, O.[Omar], d'Mello, S.K.[Sidney K.], Calvo, R.A.[Rafael A.],
Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals,
AffCom(3), No. 3, 2012, pp. 298-310.
IEEE DOI 1210
BibRef

d'Mello, S.K.,
On the Influence of an Iterative Affect Annotation Approach on Inter-Observer and Self-Observer Reliability,
AffCom(7), No. 2, April 2016, pp. 136-149.
IEEE DOI 1606
Affective computing BibRef

Huang, H.F.[Hung-Fu], Tai, S.C.[Shen-Chuan],
Facial Expression Recognition Using New Feature Extraction Algorithm,
ELCVIA(11), No. 1, 2012, pp. xx-yy.
WWW Link. 1210
BibRef

Poursaberi, A.[Ahmad], Ahmadi, H.[Hossein], Yanushkevich, S.N.[Svetlana N.], Gavrilova, M.L.[Marina L.],
Gauss-Laguerre wavelet textural feature fusion with geometrical information for facial expression identification,
JIVP(2012), No. 1 2012, pp. 17.
DOI Link 1210
BibRef

Ahmed, F.[Faisal], Paul, P.P.[Padma Polash], Gavrilova, M.L.[Marina L.],
Evolutionary fusion of local texture patterns for facial expression recognition,
ICIP15(1031-1035)
IEEE DOI 1512
Facial expression recognition See also DTW-based kernel and rank-level fusion for 3D gait recognition using Kinect. BibRef

Chen, S.Z.[Shi-Zhi], Tian, Y.L.[Ying-Li], Liu, Q.S.[Qing-Shan], Metaxas, D.N.[Dimitris N.],
Recognizing expressions from face and body gesture by temporal normalized motion and appearance features,
IVC(31), No. 2, February 2013, pp. 175-185.
Elsevier DOI 1303
BibRef
Earlier: CVPR4HB11(7-12).
IEEE DOI 1106
BibRef
Earlier:
Segment and recognize expression phase by fusion of motion area and neutral divergence features,
FG11(330-335).
IEEE DOI 1103
Affect recognition; Facial feature; Body gesture; MHI-HOG; Image-HOG BibRef

Rahulamathavan, Y.[Yogachandran], Phan, R.C.W.[Raphael C.W.], Chambers, J.A.[Jonathon A.], Parish, D.J.[David J.],
Facial Expression Recognition in the Encrypted Domain Based on Local Fisher Discriminant Analysis,
AffCom(4), No. 1, January 2013, pp. 83-92.
IEEE DOI 1304
BibRef

Al-Sumaidaee, S.A.M.[Saadoon A.M.], Abdullah, M.A.M., Al-Nima, R.R.O.[Raid Rafi Omar], Dlay, S.S.[Satnam S.], Chambers, J.A.[Jonathon A.],
Multi-gradient features and elongated quinary pattern encoding for image-based facial expression recognition,
PR(71), No. 1, 2017, pp. 249-263.
Elsevier DOI 1707
Texture, feature, analysis BibRef

Yan, H., Ang, M.H., Poo, A.N.,
Adaptive discriminative metric learning for facial expression recognition,
IET-Bio(1), No. 3, September 2012, pp. 160-167.
DOI Link 1305
BibRef

Liao, C.T.[Chia-Te], Chuang, H.J.[Hui-Ju], Duan, C.H.[Chih-Hsueh], Lai, S.H.[Shang-Hong],
Learning spatial weighting for facial expression analysis via constrained quadratic programming,
PR(46), No. 11, November 2013, pp. 3103-3116.
Elsevier DOI 1306
BibRef
Earlier:
Learning spatial weighting via quadratic programming for facial expression analysis,
CVPR4HB10(86-93).
IEEE DOI 1006
Facial expression analysis; Quadratic programming; Expression recognition; Expression intensity estimation BibRef

Khan, R.A.[Rizwan Ahmed], Meyer, A.[Alexandre], Konik, H.[Hubert], Bouakaz, S.[Saida],
Framework for reliable, real-time facial expression recognition for low resolution images,
PRL(34), No. 10, 15 July 2013, pp. 1159-1168.
Elsevier DOI 1306
BibRef
Earlier:
Human vision inspired framework for facial expressions recognition,
ICIP12(2593-2596).
IEEE DOI 1302
BibRef
And:
Exploring human visual system: Study to aid the development of automatic facial expression recognition framework,
Gesture12(49-54).
IEEE DOI 1207
Facial expression recognition; Low resolution images; Local binary pattern; Image pyramid; Salient facial regions BibRef

Crenn, A., Khan, R.A.[Rizwan Ahmed], Meyer, A.[Alexandre], Bouakaz, S.[Saida],
Body expression recognition from animated 3D skeleton,
IC3D16(1-7)
IEEE DOI 1703
computer animation BibRef

Tawari, A., Trivedi, M.M.,
Face Expression Recognition by Cross Modal Data Association,
MultMed(15), No. 7, 2013, pp. 1543-1552.
IEEE DOI 1312
audio-visual systems BibRef

Fang, H.[Hui], Parthaláin, N.M.[Neil Mac], Aubrey, A.J.[Andrew J.], Tam, G.K.L.[Gary K.L.], Borgo, R.[Rita], Rosin, P.L.[Paul L.], Grant, P.W.[Philip W.], Marshall, D.[David], Chen, M.[Min],
Facial expression recognition in dynamic sequences: An integrated approach,
PR(47), No. 3, 2014, pp. 1271-1281.
Elsevier DOI 1312
Facial expression analysis BibRef

Meng, H.Y.[Hong-Ying], Bianchi-Berthouze, N.,
Affective State Level Recognition in Naturalistic Facial and Vocal Expressions,
Cyber(44), No. 3, March 2014, pp. 315-328.
IEEE DOI 1404
audio signal processing BibRef

Guo, G.D.[Guo-Dong], Guo, R.[Rui], Li, X.[Xin],
Facial Expression Recognition Influenced by Human Aging,
AffCom(4), No. 3, July 2013, pp. 291-298.
IEEE DOI 1404
computer vision BibRef

Benitez-Garcia, G.[Gibran], Sanchez-Perez, G.[Gabriel], Perez-Meana, H.M.[Hector M.], Takahashi, K.[Keita], Kaneko, M.[Masahide],
Facial Expression Recognition Based on Facial Region Segmentation and Modal Value Approach,
IEICE(E97-D), No. 4, April 2014, pp. 928-935.
WWW Link. 1404
BibRef

Taheri, S., Patel, V.M., Chellappa, R.,
Component-Based Recognition of Faces and Facial Expressions,
AffCom(4), No. 4, October 2013, pp. 360-371.
IEEE DOI 1406
face recognition BibRef

Taheri, S., Qiu, Q.A.[Qi-Ang], Chellappa, R.,
Structure-Preserving Sparse Decomposition for Facial Expression Analysis,
IP(23), No. 8, August 2014, pp. 3590-3603.
IEEE DOI 1408
dictionaries BibRef

Mohammadi, M.R.[Mohammad Reza], Fatemizadeh, E.[Emad], Mahoor, M.H.[Mohammad H.],
PCA-based dictionary building for accurate facial expression recognition via sparse representation,
JVCIR(25), No. 5, 2014, pp. 1082-1092.
Elsevier DOI 1406
BibRef
And:
Simultaneous recognition of facial expression and identity via sparse representation,
WACV14(1066-1073)
IEEE DOI 1406
Facial expression recognition. Dictionaries BibRef

Mohammadi, M.R.[Mohammad Reza], Fatemizadeh, E.[Emad], Mahoor, M.H.[Mohammad H.],
A joint dictionary learning and regression model for intensity estimation of facial AUs,
JVCIR(47), No. 1, 2017, pp. 1-9.
Elsevier DOI 1706
Facial action units. BibRef

Casale, P.[Pierluigi], Pujol, O.[Oriol], Radeva, P.I.[Petia I.],
Approximate polytope ensemble for one-class classification,
PR(47), No. 2, 2014, pp. 854-864.
Elsevier DOI 1311
BibRef
And:
Human Activity Recognition from Accelerometer Data Using a Wearable Device,
IbPRIA11(289-296).
Springer DOI 1106
BibRef
Earlier:
Face-to-Face Social Activity Detection Using Data Collected with a Wearable Device,
IbPRIA09(56-63).
Springer DOI 0906
One-class classification BibRef

Casale, P.[Pierluigi],
Approximate Ensemble Methods for Physical Activity Recognition Applications,
ELCVIA(13), No. 2, 2014, pp. xx-yy.
WWW Link. 1407
Ph.D.. Thesis. BibRef

Yu, H., Liu, H.,
Regression-Based Facial Expression Optimization,
HMS(44), No. 3, June 2014, pp. 386-394.
IEEE DOI 1407
Deformable models BibRef

Shreve, M.[Matthew], Brizzi, J.[Jesse], Fefilatyev, S.[Sergiy], Luguev, T.[Timur], Goldgof, D.[Dmitry], Sarkar, S.[Sudeep],
Automatic expression spotting in videos,
IVC(32), No. 8, 2014, pp. 476-486.
Elsevier DOI 1407
Expression spotting BibRef

Shojaeilangari, S.[Seyedehsamaneh], Yau, W.Y.[Wei-Yun], Teoh, E.K.[Eam-Khwang],
A novel phase congruency based descriptor for dynamic facial expression analysis,
PRL(49), No. 1, 2014, pp. 55-61.
Elsevier DOI 1410
Phase congruency BibRef

Shojaeilangari, S.[Seyedehsamaneh], Yau, W.Y.[Wei-Yun], Teoh, E.K.[Eam-Khwang],
Pose-invariant descriptor for facial emotion recognition,
MVA(27), No. 7, October 2016, pp. 1063-1070.
Springer DOI 1610
BibRef

Shojaeilangari, S.[Seyedehsamaneh], Yau, W.Y.[Wei-Yun], Li, J.[Jun], Teoh, E.K.[Eam-Khwang],
Feature extraction through Binary Pattern of Phase Congruency for facial expression recognition,
ICARCV12(166-170).
IEEE DOI 1304
BibRef

Lee, S.H.[Seung Ho], Plataniotis, K.N.K.[K.N. Kostas], Ro, Y.M.[Yong Man],
Intra-Class Variation Reduction Using Training Expression Images for Sparse Representation Based Facial Expression Recognition,
AffCom(5), No. 3, July 2014, pp. 340-351.
IEEE DOI 1412
face recognition BibRef

Lee, S.H.[Seung Ho], Ro, Y.M.[Yong Man],
Partial Matching of Facial Expression Sequence Using Over-Complete Transition Dictionary for Emotion Recognition,
AffCom(7), No. 4, October 2016, pp. 389-408.
IEEE DOI 1612
Dictionaries BibRef

Lee, S.H.[Seung Ho], Baddar, W.J.[Wissam J.], Ro, Y.M.[Yong Man],
Collaborative expression representation using peak expression and intra class variation face images for practical subject-independent emotion recognition in videos,
PR(54), No. 1, 2016, pp. 52-67.
Elsevier DOI 1603
Facial expression recognition (FER) BibRef

Kim, H.I.[Hyung-Il], Lee, S.H.[Seung Ho], Ro, Y.M.[Yong Man],
Face image assessment learned with objective and relative face image qualities for improved face recognition,
ICIP15(4027-4031)
IEEE DOI 1512
BibRef
Earlier:
Adaptive feature extraction for blurred face images in facial expression recognition,
ICIP14(5971-5975)
IEEE DOI 1502
Face recognition. BibRef

Yi, J.Z.[Ji-Zheng], Mao, X.[Xia], Chen, L.[Lijiang], Xue, Y.[Yuli], Compare, A.,
Facial expression recognition considering individual differences in facial structure and texture,
IET-CV(8), No. 5, October 2014, pp. 429-440.
DOI Link 1412
face recognition BibRef

Zhang, L.G.[Li-Gang], Tjondronegoro, D.[Dian], Chandran, V.[Vinod],
Representation of facial expression categories in continuous arousal-valence space: Feature and correlation,
IVC(32), No. 12, 2014, pp. 1067-1079.
Elsevier DOI 1412
Facial expression recognition BibRef

Siddiqi, M.H., Ali, R., Khan, A.M., Park, Y., Lee, S.,
Human Facial Expression Recognition Using Stepwise Linear Discriminant Analysis and Hidden Conditional Random Fields,
IP(24), No. 4, April 2015, pp. 1386-1398.
IEEE DOI 1503
Face BibRef

Zhang, X.[Xiao], Mahoor, M.H.[Mohammad H.], Mavadati, S.M.[S. Mohammad],
Facial expression recognition using LP-norm MKL multiclass-SVM,
MVA(26), No. 4, May 2015, pp. 467-483.
WWW Link. 1506
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Zhang, X.[Xiao], Mahoor, M.H.[Mohammad H.], Voyles, R.M.,
Facial expression recognition using HessianMKL based multiclass-SVM,
FG13(1-6)
IEEE DOI 1309
Gaussian processes See also Human activity recognition using multi-features and multiple kernel learning. BibRef

Happy, S.L., Routray, A.[Aurobinda],
Automatic Facial Expression Recognition Using Features of Salient Facial Patches,
AffCom(6), No. 1, January 2015, pp. 1-12.
IEEE DOI 1506
emotion recognition BibRef

Zhang, W.[Wei], Zhang, Y.[Youmei], Ma, L.[Lin], Guan, J.W.[Jing-Wei], Gong, S.J.[Shi-Jie],
Multimodal learning for facial expression recognition,
PR(48), No. 10, 2015, pp. 3191-3202.
Elsevier DOI 1507
Multimodal learning BibRef

Fan, X.J.[Xi-Jian], Tjahjadi, T.[Tardi],
A spatial-temporal framework based on histogram of gradients and optical flow for facial expression recognition in video sequences,
PR(48), No. 11, 2015, pp. 3407-3416.
Elsevier DOI 1506
Histogram of gradients BibRef

Fan, X.J.[Xi-Jian], Tjahjadi, T.[Tardi],
A dynamic framework based on local Zernike moment and motion history image for facial expression recognition,
PR(64), No. 1, 2017, pp. 399-406.
Elsevier DOI 1701
Zernike moment BibRef

Mohammadian, A.[Amin], Aghaeinia, H.[Hassan], Towhidkhah, F.[Farzad],
Video-based facial expression recognition by removing the style variations,
IET-IPR(9), No. 7, 2015, pp. 596-603.
DOI Link 1506
emotion recognition BibRef

Mohammadian, A.[Amin], Aghaeinia, H.[Hassan], Towhidkhah, F.[Farzad],
Diverse videos synthesis using manifold-based parametric motion model for facial understanding,
IET-IPR(10), No. 4, 2016, pp. 253-260.
DOI Link 1604
face recognition BibRef

Mohammadian, A.[Amin], Aghaeinia, H.[Hassan], Towhidkhah, F.[Farzad],
Incorporating prior knowledge from the new person into recognition of facial expression,
SIViP(10), No. 1, February 2016, pp. 235-242.
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Wei, W.[Wei], Tian, C.[Chunna], Maybank, S.J.[Stephen John], Zhang, Y.[Yanning],
Facial expression transfer method based on frequency analysis,
PR(49), No. 1, 2016, pp. 115-128.
Elsevier DOI 1511
Expression transfer BibRef

Wang, L.[Li], Wang, K.[Ke], Li, R.F.[Rui-Feng],
Unsupervised feature selection based on spectral regression from manifold learning for facial expression recognition,
IET-CV(9), No. 5, 2015, pp. 655-662.
DOI Link 1511
emotion recognition BibRef

Shikkenawis, G.[Gitam], Mitra, S.K.[Suman K.],
2D Orthogonal Locality Preserving Projection for Image Denoising,
IP(25), No. 1, January 2016, pp. 262-273.
IEEE DOI 1601
Dictionaries BibRef

Koringa, P.[Purvi], Shikkenawis, G.[Gitam], Mitra, S.K.[Suman K.], Parulkar, S.K.,
Modified Orthogonal Neighborhood Preserving Projection for Face Recognition,
PReMI15(225-235).
Springer DOI 1511
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Jain, D., Shikkenawis, G.[Gitam], Mitra, S.K.[Suman K.], Parulkar, S.K.,
Face and facial expression recognition using Extended Locality Preserving Projection,
NCVPRIPG13(1-4)
IEEE DOI 1408
data reduction BibRef

Mlakar, U.[Uroš], Potocnik, B.[Božidar],
Automated facial expression recognition based on histograms of oriented gradient feature vector differences,
SIViP(9), No. 1 Supp, December 2015, pp. 245-253.
WWW Link. 1601
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Zen, G., Porzi, L., Sangineto, E., Ricci, E., Sebe, N.,
Learning Personalized Models for Facial Expression Analysis and Gesture Recognition,
MultMed(18), No. 4, April 2016, pp. 775-788.
IEEE DOI 1604
Data models BibRef

Ali, G.[Ghulam], Iqbal, M.A.[Muhammad Amjad], Choi, T.S.[Tae-Sun],
Boosted NNE collections for multicultural facial expression recognition,
PR(55), No. 1, 2016, pp. 14-27.
Elsevier DOI 1604
Ensemble classifier BibRef

Imran, S.M.[Saif Muhammad], Rahman, S.M.M.[S.M. Mahbubur], Hatzinakos, D.[Dimitrios],
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PR(56), No. 1, 2016, pp. 100-115.
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Is 2D Unlabeled Data Adequate for Recognizing Facial Expressions?,
IEEE_Int_Sys(31), No. 3, May 2016, pp. 19-29.
IEEE DOI 1606
Face recognition BibRef

Jiang, X., Feng, B., Jin, L.,
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IET-IPR(10), No. 8, 2016, pp. 616-623.
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Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order,
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Elsevier DOI 1609
Facial expression recognition BibRef

Elgarrai, Z.[Zineb], El Meslouhi, O.[Othmane], Kardouchi, M.[Mustapha], Allali, H.[Hakim],
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IVC(55, Part 1), No. 1, 2016, pp. 6-8.
Elsevier DOI 1612
Opinion paper BibRef

Zhang, T., Zheng, W., Cui, Z., Zong, Y., Yan, J., Yan, K.,
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition,
MultMed(18), No. 12, December 2016, pp. 2528-2536.
IEEE DOI 1612
Convolution BibRef

da Silva, F.A.M.[Flávio Altinier Maximiano], Pedrini, H.[Helio],
Geometrical Features and Active Appearance Model Applied to Facial Expression Recognition,
IJIG(16), No. 04, 2016, pp. 1650019.
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Ren, F., Huang, Z.,
Automatic Facial Expression Learning Method Based on Humanoid Robot XIN-REN,
HMS(46), No. 6, December 2016, pp. 810-821.
IEEE DOI 1612
control engineering computing BibRef

Monkaresi, H., Bosch, N., Calvo, R.A., d'Mello, S.K.,
Automated Detection of Engagement Using Video-Based Estimation of Facial Expressions and Heart Rate,
AffCom(8), No. 1, January 2017, pp. 15-28.
IEEE DOI 1703
Biomedical monitoring BibRef

Poore, J.C., Webb, A.K., Cunha, M.G., Mariano, L.J., Chappell, D.T., Coskren, M.R., Schwartz, J.L.,
Operationalizing Engagement with Multimedia as User Coherence with Context,
AffCom(8), No. 1, January 2017, pp. 95-107.
IEEE DOI 1703
Coherence BibRef

Mao, Q.R.[Qi-Rong], Rao, Q.Y.[Qi-Yu], Yu, Y.B.[Yong-Bin], Dong, M.[Ming],
Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition,
MultMed(19), No. 4, April 2017, pp. 861-873.
IEEE DOI 1704
Bayes methods BibRef

Aneja, D.[Deepali], Colburn, A.[Alex], Faigin, G.[Gary], Shapiro, L.G.[Linda G.], Mones, B.[Barbara],
Modeling Stylized Character Expressions via Deep Learning,
ACCV16(II: 136-153).
Springer DOI 1704
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Sun, Z.[Zhe], Hu, Z.P.[Zheng-Ping], Wang, M.[Meng], Zhao, S.H.[Shu-Huan],
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SIViP(11), No. 4, May 2017, pp. 597-604.
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Goyani, M.M.[Mahesh M.], Patel, N.[Narendra],
Recognition of Facial Expressions using Local Mean Binary Pattern,
ELCVIA(16), No. 1, 2017, pp. 54-67.
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Ashir, A.M.[Abubakar M.], Eleyan, A.[Alaa],
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Deep Analysis of Facial Behavioral Dynamics,
FaceWild17(1988-1996)
IEEE DOI 1709
Convolutional codes, Covariance matrices, Decoding, Dynamics, Feature extraction, Noise reduction BibRef

Liu, X., Kumar, B.V.K.V.[B. V. K. V.], You, J., Jia, P.,
Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition,
Biometrics17(522-531)
IEEE DOI 1709
Face recognition, Feature extraction, Measurement, Optimization, Training BibRef

McCurrie, M.[Mel], Beletti, F.[Fernando], Parzianello, L.[Lucas], Westendorp, A.[Allen], Anthony, S.[Samuel], Scheirer, W.J.[Walter J.],
Predicting First Impressions with Deep Learning,
FG17(518-525)
IEEE DOI 1707
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And: A1, A5, A6, Only: Demo: FG17(999-999)
IEEE DOI 1707
Model subjective judgments. Biometrics (access control), Computational modeling, Computer vision, Face, Predictive models, Psychology, Visualization. Automobiles, Computer architecture, Moon, Roads BibRef

Liu, Z., Li, S., Deng, W.,
Boosting-POOF: Boosting Part Based One vs One Feature for Facial Expression Recognition in the Wild,
FG17(967-972)
IEEE DOI 1707
Classification algorithms, Compounds, Databases, Face, Face recognition, Feature extraction, Semantics BibRef

Gui, L., Baltrušaitis, T., Morency, L.P.[Louis-Philippe],
Curriculum Learning for Facial Expression Recognition,
FG17(505-511)
IEEE DOI 1707
Complexity theory, Emotion recognition, Face, Face recognition, Machine learning, Neural networks, Training BibRef

Ding, H., Zhou, S.K., Chellappa, R.,
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition,
FG17(118-126)
IEEE DOI 1707
Convolution, Distribution functions, Face, Face recognition, Image recognition, Neurons, Training BibRef

Desrosiers, P.A., Daoudi, M., Devanne, M.,
Novel generative model for facial expressions based on statistical shape analysis of landmarks trajectories,
ICPR16(961-966)
IEEE DOI 1705
Computational modeling, Databases, Feature extraction, Manifolds, Shape, Trajectory, Videos BibRef

Vo, D.M.[Duc Minh], Sugimoto, A., Le, T.H.[Thai Hoang],
Facial expression recognition by re-ranking with global and local generic features,
ICPR16(4118-4123)
IEEE DOI 1705
Face, Face recognition, Feature extraction, Kernel, Support vector machines, Three-dimensional displays, Training BibRef

Acevedo, D.[Daniel], Negri, P., Buemi, M.E.[María Elena], Fernández, F.G., Mejail, M.,
A Simple Geometric-Based Descriptor for Facial Expression Recognition,
FG17(802-808)
IEEE DOI 1707
Databases, Face, Face recognition, Gesture recognition, Human computer interaction, Training, Video, sequences BibRef

Acevedo, D.[Daniel], Negri, P., Buemi, M.E.[María Elena], Mejail, M.,
Facial expression recognition based on static and dynamic approaches,
ICPR16(4124-4129)
IEEE DOI 1705
Databases, Emotion recognition, Face recognition, Feature extraction, Gesture recognition, Robustness, Support, vector, machines BibRef

Huang, Y., Lu, H.Q.[Han-Qing],
Hybrid hypergraph construction for facial expression recognition,
ICPR16(4142-4147)
IEEE DOI 1705
Face, Face recognition, Image recognition, Mathematical model, Neural networks, Training BibRef

Saeed, A., Al-Hamadi, A.,
A framework for joint facial expression recognition and point localization,
ICPR16(4130-4135)
IEEE DOI 1705
Computational modeling, Detectors, Face, Face recognition, Feature extraction, Hidden Markov models, Viterbi, algorithm BibRef

Sun, W.[Wenyun], Zhao, H.T.[Hai-Tao], Jin, Z.[Zhong],
3D Convolutional Neural Networks for Facial Expression Classification,
SFBA16(I: 528-543).
Springer DOI 1704
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Chen, J.H.[Jin-Hui], Luo, Z.[Zhaojie], Takiguchi, T.[Tetsuya], Ariki, Y.[Yasuo],
Expression Recognition with Ri-HOG Cascade,
CV4AC16(III: 517-530).
Springer DOI 1704
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Chan, K.P., Zhan, X.X.[Xin-Xin], Wang, J.L.[Jia-Li],
Facial expression recognition by correlated Topic Models and Bayes modeling,
ICVNZ15(1-5)
IEEE DOI 1701
Bayes methods BibRef

Baddar, W.J.[Wissam J.], Kim, D.H.[Dae Hoe], Ro, Y.M.[Yong Man],
Learning Features Robust to Image Variations with Siamese Networks for Facial Expression Recognition,
MMMod17(I: 189-200).
Springer DOI 1701
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Sun, Y.[Yuechuan], Yu, J.[Jun],
Facial Expression Recognition by Fusing Gabor and Local Binary Pattern Features,
MMMod17(II: 209-220).
Springer DOI 1701
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Peng, X., Xia, Z., Li, L., Feng, X.,
Towards Facial Expression Recognition in the Wild: A New Database and Deep Recognition System,
Affect16(1544-1550)
IEEE DOI 1612
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Mollahosseini, A., Hassani, B., Salvador, M.J., Abdollahi, H., Chan, D., Mahoor, M.H.[Mohammad H.],
Facial Expression Recognition from World Wild Web,
Affect16(1509-1516)
IEEE DOI 1612
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Afshar, S., Salah, A.A.,
Facial Expression Recognition in the Wild Using Improved Dense Trajectories and Fisher Vector Encoding,
Affect16(1517-1525)
IEEE DOI 1612
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Zhao, R., Gan, Q., Wang, S., Ji, Q.,
Facial Expression Intensity Estimation Using Ordinal Information,
CVPR16(3466-3474)
IEEE DOI 1612
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Tsatsoulis, P.D.[P. Daphne], Kordas, P.[Paige], Marshall, M.[Michael], Forsyth, D.[David], Rozga, A.[Agata],
The Static Multimodal Dyadic Behavior Dataset for Engagement Prediction,
ChaLearn16(III: 386-399).
Springer DOI 1611
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Grant, E.[Edward], Kohli, P.[Pushmeet], van Gerven, M.A.J.[Marcel A.J.],
Deep Disentangled Representations for Volumetric Reconstruction,
DeepLearn16(III: 266-279).
Springer DOI 1611
faces and chairs BibRef

Güçlütürk, Y.[Yagmur], Güçlü, U.[Umut], van Gerven, M.A.J.[Marcel A. J.], van Lier, R.[Rob],
Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition,
ChaLearn16(III: 349-358).
Springer DOI 1611
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Zhang, C.L.[Chen-Lin], Zhang, H.[Hao], Wei, X.S.[Xiu-Shen], Wu, J.X.[Jian-Xin],
Deep Bimodal Regression for Apparent Personality Analysis,
ChaLearn16(III: 311-324).
Springer DOI 1611
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Loob, C.[Christer], Rasti, P.[Pejman], Lüsi, I.[Iiris], Jacques Junior, J.C.S.[Julio C.S.], Baró, X.[Xavier], Escalera, S.[Sergio], Sapinski, T.[Tomasz], Kaminska, D.[Dorota], Anbarjafari, G.[Gholamreza],
Dominant and Complementary Multi-Emotional Facial Expression Recognition Using C-Support Vector Classification,
FG17(833-838)
IEEE DOI 1707
Databases, Emotion recognition, Face, Face recognition, Feature extraction, Kernel, Support vector machines BibRef

Chen, B.[Baiyu], Escalera, S.[Sergio], Guyon, I.[Isabelle], Ponce-López, V.[Víctor], Shah, N.[Nihar], Oliu Simón, M.[Marc],
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ChaLearn16(III: 419-432).
Springer DOI 1611
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Zhao, X.Y.[Xiang-Yun], Liang, X.D.[Xiao-Dan], Liu, L.[Luoqi], Li, T.[Teng], Han, Y.[Yugang], Vasconcelos, N.[Nuno], Yan, S.C.[Shui-Cheng],
Peak-Piloted Deep Network for Facial Expression Recognition,
ECCV16(II: 425-442).
Springer DOI 1611
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Arbabzadah, F.[Farhad], Montavon, G.[Grégoire], Müller, K.R.[Klaus-Robert], Samek, W.[Wojciech],
Identifying Individual Facial Expressions by Deconstructing a Neural Network,
GCPR16(344-354).
Springer DOI 1611
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Durmusoglu, A., Kahraman, Y.,
Facial expression recognition using geometric features,
WSSIP16(1-5)
IEEE DOI 1608
correlation methods BibRef

Salmam, F.Z., Madani, A., Kissi, M.,
Facial Expression Recognition Using Decision Trees,
CGiV16(125-130)
IEEE DOI 1608
decision trees BibRef

Oliveros, E.R.[Eloy Rafael], Coello, G.[Grethel], Marrero-Fernández, P.[Pedro], Buades, J.M.[Jose Maria], Jaume-i-Capó, A.[Antoni],
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AMDO16(135-146).
Springer DOI 1608
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Haber, N., Voss, C., Fazel, A., Winograd, T., Wall, D.P.,
A practical approach to real-time neutral feature subtraction for facial expression recognition,
WACV16(1-9)
IEEE DOI 1606
Adaptation models BibRef

Ghasemi, A., Denman, S.[Simon], Sridharan, S.[Sridha], Fookes, C.[Clinton],
Discovery of facial motions using deep machine perception,
WACV16(1-7)
IEEE DOI 1606
Convolution BibRef

Tabatabaei, S.M., Chalechale, A., Moghimi, S.,
Facial expression recognition using high order directional derivative local binary patterns,
IPRIA15(1-5)
IEEE DOI 1603
face recognition BibRef

Shokoohi, Z., Bahmanjeh, R., Faez, K.,
Expression recognition using directional gradient local pattern and gradient-based ternary texture patterns,
IPRIA15(1-7)
IEEE DOI 1603
emotion recognition BibRef

Werner, P.[Philipp], Saxen, F.[Frerk], Al-Hamadi, A.[Ayoub],
Handling Data Imbalance in Automatic Facial Action Intensity Estimation,
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Cross-modality pose-invariant facial expression,
ICIP15(4007-4011)
IEEE DOI 1512
Facial expression; cross-modality; domain adaptive; pose-invariant BibRef

Karali, A.[Abubakrelsedik], Bassiouny, A.[Ahmad], El-Saban, M.[Motaz],
Facial expression recognition in the wild using rich deep features,
ICIP15(3442-3446)
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Facial expression recognition; deep neural networks features BibRef

Zheng, W.[Wenming], Zhou, X.Y.[Xiao-Yan],
Cross-pose color facial expression recognition using transductive transfer linear discriminat analysis,
ICIP15(1935-1939)
IEEE DOI 1512
Color facial expression recognition BibRef

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Face de-identification with expressions preservation,
ICIP15(4366-4370)
IEEE DOI 1512
Adaptive Filtering; De-identification; Facial Expressions Recognition BibRef

Chen, J.[Junkai], Chen, Z.[Zenghai], Chi, Z.[Zheru], Fu, H.[Hong],
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ICIP15(4967-4971)
IEEE DOI 1512
Facial expression recognition BibRef

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Facial Expression Recognition Using Learning Vector Quantization,
CAIP15(II:760-771).
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Sikka, K.[Karan], Sharma, G., Bartlett, M.S.[Marian Stewart],
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CVPR16(5580-5589)
IEEE DOI 1612
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Sikka, K.[Karan], Dhall, A.[Abhinav], Bartlett, M.S.[Marian Stewart],
Exemplar Hidden Markov Models for classification of facial expressions in videos,
AMFG15(18-25)
IEEE DOI 1510
Computational modeling BibRef

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IEEE DOI 1106
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FG11(298-305).
IEEE DOI 1103
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FG08(1-2).
IEEE DOI 0809
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Whitehill, J.[Jacob], Bartlett, M.S.[Marian S.], Movellan, J.R.[Javier R.],
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FG15(1-8)
IEEE DOI 1508
behavioural sciences computing BibRef

Dapogny, A., Bailly, K., Dubuisson, S.,
Multi-Output Random Forests for Facial Action Unit Detection,
FG17(135-140)
IEEE DOI 1707
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ICCV15(3783-3791)
IEEE DOI 1602
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Dynamic facial expression recognition by joint static and multi-time gap transition classification,
FG15(1-6)
IEEE DOI 1508
Face, Feature extraction, Gold, Machine learning, Radio frequency, Training, Vegetation BibRef

Li, R.[Rui], Curhan, J., Hoque, M.E.,
Predicting video-conferencing conversation outcomes based on modeling facial expression synchronization,
FG15(1-6)
IEEE DOI 1508
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Li, W.[Wei], Li, M.[Min], Su, Z.[Zhong], Zhu, Z.G.[Zhi-Gang],
A deep-learning approach to facial expression recognition with candid images,
MVA15(279-282)
IEEE DOI 1507
Computational modeling BibRef

Jung, H.[Heechul], Lee, S.[Sihaeng], Yim, J., Park, S.[Sunjeong], Kim, J.[Junmo],
Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition,
ICCV15(2983-2991)
IEEE DOI 1602
Databases BibRef

Jung, H.[Heechul], Lee, S.[Sihaeng], Park, S.[Sunjeong], Kim, B.J.[Byung-Ju], Kim, J.[Junmo], Lee, I.[Injae], Ahn, C.[Chunghyun],
Development of deep learning-based facial expression recognition system,
FCV15(1-4)
IEEE DOI 1506
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Tani, M.Y.K.[Mohammed Yassine Kazi], Lablack, A.[Adel], Ghomari, A.[Abdelghani], Bilasco, I.M.[Ioan Marius],
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Bilasco, I.M.[Ioan Marius], Lablack, A.[Adel], Dahmane, A.[Afifa], Danisman, T.[Taner],
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Kahou, S.E.[Samira Ebrahimi], Froumenty, P.[Pierre], Pal, C.[Christopher],
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Turan, C.[Cigdem], Lam, K.M.[Kin-Man],
Region-based feature fusion for facial-expression recognition,
ICIP14(5966-5970)
IEEE DOI 1502
Correlation BibRef

Weng, C.H.[Ching-Hua], Lai, S.H.[Shang-Hong],
Online facial expression recognition based on combining texture and geometric information,
ICIP14(5976-5980)
IEEE DOI 1502
Computer vision BibRef

Le, D.K.T.[Dang-Khoa Tan], Truong, H.P.[Hung Phuoc], Le, T.H.[Thai Hoang],
Facial expression recognition using statistical subspace,
ICIP14(5981-5985)
IEEE DOI 1502
Accuracy BibRef

Zhang, X.[Xing], Yin, L.J.[Li-Jun], Hipp, D.[Daniel], Gerhardstein, P.[Peter],
Evaluation of Perceptual Biases in Facial Expression Recognition by Humans and Machines,
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Zhang, M.[Meng], Lee, D.J.[Dah-Jye], Desai, A.[Alok], Lillywhite, K.D.[Kirt D.], Tippetts, B.J.[Beau J.],
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Fang, Y.C.[Yu-Chun], Chang, L.[Lu],
Multi-instance Feature Learning Based on Sparse Representation for Facial Expression Recognition,
MMMod15(I: 224-233).
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Benli, K.S.[Kristin S.], Eskil, M.T.[M. Taner],
Extraction and Selection of Muscle Based Features for Facial Expression Recognition,
ICPR14(1651-1656)
IEEE DOI 1412
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Meng, Z.[Zibo], Liu, P.[Ping], Cai, J., Han, S.H.[Shiz-Hong], Tong, Y.[Yan],
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FG17(558-565)
IEEE DOI 1707
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Liu, P.[Ping], Han, S.H.[Shiz-Hong], Meng, Z.[Zibo], Tong, Y.[Yan],
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CVPR14(1805-1812)
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ECCV14(IV: 151-166).
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Hur, D.C.[Dong-Cheol], Wallraven, C., Lee, S.W.[Seong-Whan],
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ACPR13(697-701)
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computer graphics BibRef

Zhao, K.[Kaili], Zhang, H.G.[Hong-Gang], Guo, J.[Jun],
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ICIP14(1435-1439)
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Algorithm design and analysis BibRef

Zhao, K.[Kaili], Zhang, H.G.[Hong-Gang], Dong, M.Z.[Ming-Zhi], Guo, J.[Jun], Qi, Y.G.[Yong-Gang], Song, Y.Z.[Yi-Zhe],
A multi-label classification approach for Facial Expression Recognition,
VCIP13(1-6)
IEEE DOI 1402
convex programming BibRef

Ali, H.B., Powers, D.M.W.,
Facial Expression Recognition Based on Weighted All Parts Accumulation and Optimal Expression-Specific Parts Accumulation,
DICTA13(1-7)
IEEE DOI 1402
biometrics (access control) BibRef

Zhang, Z.Z.[Zi-Zhao], Yan, Y.[Yan], Wang, H.Z.[Han-Zi],
Discriminative filter based regression learning for facial expression recognition,
ICIP13(1192-1196)
IEEE DOI 1402
Cost function BibRef

Feng, X.Y.[Xiao-Yi], Lai, Y.[Yangming], Mao, X.F.[Xiao-Fei], Peng, J.Y.[Jin-Ye], Jiang, X.Y.[Xiao-Yue], Hadid, A.[Abdenour],
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SCIA13(339-348).
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Wu, C.L.[Chong-Liang], Wang, S.F.[Shang-Fei], Ji, Q.A.[Qi-Ang],
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FG15(1-6)
IEEE DOI 1508
face recognition BibRef

Wang, J.[Jun], Wang, S.F.[Shang-Fei], Ji, Q.A.[Qi-Ang],
Early Facial Expression Recognition Using Hidden Markov Models,
ICPR14(4594-4599)
IEEE DOI 1412
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Boughrara, H.[Hayet], Chen, L.M.[Li-Ming], Amar, C.B.[Chokri Ben],
Facial Expression Recognition Based on Perceived Facial Images and Local Feature Matching,
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Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations,
LV13(277-282)
IEEE DOI 1309
Dataset, Facial Expressions. Conversations; Database; Facial Expressions BibRef

Vandal, T., McDuff, D.[Daniel], el Kaliouby, R.[Rana],
Event detection: Ultra large-scale clustering of facial expressions,
FG15(1-8)
IEEE DOI 1508
Big Data BibRef

Zhang, K.[Ke], Eubanks, D.L., Frumkin, L.A., Saikayasit, R., Stedmon, A.W., Lawson, G.,
Telling the difference between deceiving and truth telling: An experiment in a public space,
FG13(1-8)
IEEE DOI 1309
behavioural sciences BibRef

Zurloni, V., Diana, B., Elia, M.,
Imposing cognitive load to unmask prepared lies,
FG13(1-6)
IEEE DOI 1309
behavioural sciences computing BibRef

Yap, M.H.[Moi Hoon], Ugail, H., Zwiggelaar, R.,
A database for facial behavioural analysis,
FG13(1-6)
IEEE DOI 1309
behavioural sciences computing BibRef

Guney, F., Arar, N.M., Fischer, M., Ekenel, H.K.,
Cross-pose facial expression recognition,
FG13(1-6)
IEEE DOI 1309
face recognition BibRef

Liu, M.Y.[Meng-Yi], Li, S.X.[Shao-Xin], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
AU-aware Deep Networks for facial expression recognition,
FG13(1-6)
IEEE DOI 1309
Boltzmann machines BibRef

Su, L.[Lumei], Sato, Y.,
Early facial expression recognition using early RankBoost,
FG13(1-7)
IEEE DOI 1309
face recognition BibRef

Lee, S.H.[Seung Ho], Kim, H.I.[Hyung-Il], Ro, Y.M.[Yong Man], Plataniotis, K.N.[Konstantinos N.],
Using color texture sparsity for facial expression recognition,
FG13(1-6)
IEEE DOI 1309
emotion recognition See also Local Color Vector Binary Patterns From Multichannel Face Images for Face Recognition. BibRef

Majumder, A.[Anima], Behera, L.[Laxmidhar],
Facial Expression Recognition with Regional Features Using Local Binary Patterns,
CAIP13(556-563).
Springer DOI 1308
BibRef

Fan, W.[Wentao], Bouguila, N.[Nizar],
Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models,
CRV13(37-44)
IEEE DOI 1308
Data models BibRef

Mourăo, A.[André], Borges, P.[Pedro], Correia, N.[Nuno], Magalhăes, J.[Joăo],
Facial Expression Recognition by Sparse Reconstruction with Robust Features,
ICIAR13(107-115).
Springer DOI 1307
BibRef

Liu, M.Y.[Meng-Yi], Li, S.X.[Shao-Xin], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Enhancing Expression Recognition in the Wild with Unlabeled Reference Data,
ACCV12(II:577-588).
Springer DOI 1304
BibRef

Dhall, A.[Abhinav], Goecke, R.[Roland],
Group expression intensity estimation in videos via Gaussian Processes,
ICPR12(3525-3528).
WWW Link. 1302
BibRef

Rashidy Kanan, H.[Hamidreza], Ahmady, M.[Maryam],
Recognition of facial expressions using locally weighted and adjusted order Pseudo Zernike Moments,
ICPR12(3419-3422).
WWW Link. 1302
BibRef

Tu, Y.H.[Yi-Han], Hsu, C.T.[Chiou-Ting],
Dual subspace nonnegative matrix factorization for person-invariant facial expression recognition,
ICPR12(2391-2394).
WWW Link. 1302
BibRef

Zhang, Z.[Zheng], Fang, C.[Chi], Ding, X.Q.[Xiao-Qing],
A hierarchical algorithm with multi-feature fusion for facial expression recognition,
ICPR12(2363-2366).
WWW Link. 1302
BibRef

Liu, W.F.[Wei-Feng], Song, C.F.[Cai-Feng], Wang, Y.J.[Yan-Jiang],
Facial expression recognition based on discriminative dictionary learning,
ICPR12(1839-1842).
WWW Link. 1302
BibRef

Dhall, A.[Abhinav], Goecke, R.[Roland], Lucey, S.[Simon], Gedeon, T.[Tom],
Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark,
BenchFace11(2106-2112).
IEEE DOI 1201
BibRef

Matuszewski, B.J.[Bogdan J.], Quan, W.[Wei], Shark, L.K.[Lik-Kwan],
High-resolution comprehensive 3-D dynamic database for facial articulation analysis,
BenchFace11(2128-2135).
IEEE DOI 1201
Dataset, Facial Expressions. BibRef

Araujo, R.[Rodrigo], Miao, Y.Q.[Yun-Qian], Kamel, M.S.[Mohamed S.], Cheriet, M.[Mohamed],
A Fast and Robust Feature Set for Cross Individual Facial Expression Recognition,
ICCVG12(272-279).
Springer DOI 1210
BibRef

Roy, K.[Kaushik], Kamel, M.S.[Mohamed S.],
Facial Expression Recognition Using Game Theory and Particle Swarm Optimization,
ICCVG12(581-589).
Springer DOI 1210
See also Multibiometric System Using Distance Regularized Level Set Method and Particle Swarm Optimization. BibRef

Wesley, A.[Avinash], Buddharaju, P.[Pradeep], Pienta, R.[Robert], Pavlidis, I.[Ioannis],
A Comparative Analysis of Thermal and Visual Modalities for Automated Facial Expression Recognition,
ISVC12(II: 51-60).
Springer DOI 1209
BibRef

Ptucha, R.[Raymond], Savakis, A.E.[Andreas E.],
Towards the Usage of Optical Flow Temporal Features for Facial Expression Classification,
ISVC12(II: 388-397).
Springer DOI 1209
BibRef
And:
Fusion of static and temporal predictors for unconstrained facial expression recognition,
ICIP12(2597-2600).
IEEE DOI 1302
BibRef

Ptucha, R.[Raymond], Tsagkatakis, G.[Grigorios], Savakis, A.E.[Andreas E.],
Manifold based Sparse Representation for robust expression recognition without neutral subtraction,
BenchFace11(2136-2143).
IEEE DOI 1201
BibRef
And:
Manifold learning for simultaneous pose and facial expression recognition,
ICIP11(3021-3024).
IEEE DOI 1201
BibRef
Earlier: A1, A3, Only
Facial Expression Recognition Using Facial Features and Manifold Learning,
ISVC10(III: 301-309).
Springer DOI 1011
BibRef
And: A1, A3, Only
Pose estimation using facial feature points and manifold learning,
ICIP10(3261-3264).
IEEE DOI 1009
BibRef

Canavan, S.[Shaun], Sun, Y.[Yi], Zhang, X.[Xing], Yin, L.J.[Li-Jun],
A dynamic curvature based approach for facial activity analysis in 3D space,
SISM12(14-19).
IEEE DOI 1207
BibRef

Feng, X.T.[Xue-Tao], Shen, X.[Xiaolu], Zhou, M.C.[Ming-Cai], Zhang, H.[Hui], Kim, J.[Jungbae],
Robust facial expression tracking based on composite constraints AAM,
ICIP11(3045-3048).
IEEE DOI 1201
BibRef

Saha, C.[Chandrani], Ghosh, K.[Kuntal],
Estimation of facial expression intensity from a sequence of binary face images,
ICIIP11(1-6).
IEEE DOI 1112
BibRef

d'Ambrosio, R.[Roberto], Iannello, G.[Giulio], Soda, P.[Paolo],
Automatic Facial Expression Recognition Using Statistical-Like Moments,
CIAP11(I: 585-594).
Springer DOI 1109
BibRef

Liu, F.[Fang], Hancock, E.R.[Edwin R.], Smith, W.A.P.[William A. P.],
Facial Expression Recognition Using Nonrigid Motion Parameters and Shape-from-Shading,
CAIP11(II: 105-113).
Springer DOI 1109
See also Facial Shape-from-shading and Recognition Using Principal Geodesic Analysis and Robust Statistics. See also Facial Gender Classification Using Shape-from-Shading. BibRef

Sharpe, J.[James], Hancock, E.R.[Edwin R.],
Recognising Facial Expressions Using Spherical Harmonics,
SSPR08(157-166).
Springer DOI 0812
BibRef

Butko, N.J.[Nicholas J.], Theocharous, G.[Georgios], Philipose, M.[Matthai], Movellan, J.R.[Javier R.],
Automated facial affect analysis for one-on-one tutoring applications,
FG11(382-387).
IEEE DOI 1103
BibRef

Wu, T.F.[Ting-Fan], Bartlett, M.S.[Marian S.], Movellan, J.R.[Javier R.],
Facial expression recognition using Gabor motion energy filters,
CVPR4HB10(42-47).
IEEE DOI 1006
BibRef

Dhall, A.[Abhinav], Asthana, A.[Akshay], Goecke, R.[Roland],
A SSIM-based approach for finding similar facial expressions,
FG11(815-820).
IEEE DOI 1103
BibRef

Khwaja, A.[Asim], Asthana, A.[Akshay], Goecke, R.[Roland],
Illumination and Expression Invariant Recognition Using SSIM Based Sparse Representation,
ICPR10(4028-4031).
IEEE DOI 1008
BibRef

de la Hunty, M.[Miles], Asthana, A.[Akshay], Goecke, R.[Roland],
Linear Facial Expression Transfer with Active Appearance Models,
ICPR10(3789-3792).
IEEE DOI 1008
BibRef

Srivastava, R.[Ruchir], Roy, S.[Sujoy], Yan, S.C.[Shui-Cheng], Sim, T.[Terence],
Accumulated motion images for facial expression recognition in videos,
FG11(903-908).
IEEE DOI 1103
BibRef

Soyel, H.[Hamit], Demirel, H.[Hasan],
Improved SIFT matching for pose robust facial expression recognition,
FG11(585-590).
IEEE DOI 1103
BibRef

Taheri, S.[Sima], Turaga, P.K.[Pavan K.], Chellappa, R.[Rama],
Towards view-invariant expression analysis using analytic shape manifolds,
FG11(306-313).
IEEE DOI 1103
BibRef

Mones, B.[Barbara], Friedman, S.[Stephen],
Veering around the Uncanny Valley: Revealing the underlying structure of facial expressions,
FG11(345).
IEEE DOI 1103
BibRef

Shang, L.F.[Li-Feng], Chan, K.P.[Kwok-Ping], Pan, G.D.[Guo-Dong],
DTTM: A Discriminative Temporal Topic Model for Facial Expression Recognition,
ISVC11(I: 596-606).
Springer DOI 1109
BibRef

Shang, L.F.[Li-Feng], Chan, K.P.[Kwok-Ping],
A Temporal Latent Topic Model for Facial Expression Recognition,
ACCV10(IV: 51-63).
Springer DOI 1011
BibRef

Tax, D.M.J., Hendriks, E., Valstar, M.F.[Michel F.], Pantic, M.[Maja],
The Detection of Concept Frames Using Clustering Multi-instance Learning,
ICPR10(2917-2920).
IEEE DOI 1008
For facial expressions. Not model sequence, just concept (key) frames. BibRef

Schels, M.[Martin], Schwenker, F.[Friedhelm],
A Multiple Classifier System Approach for Facial Expressions in Image Sequences Utilizing GMM Supervectors,
ICPR10(4251-4254).
IEEE DOI 1008
BibRef

Xu, L.F.[Lie-Fei], Mordohai, P.[Philippos],
Automatic Facial Expression Recognition using Bags of Motion Words,
BMVC10(xx-yy).
HTML Version. 1009
BibRef

Lei, L.K.[Li-Kun], Miao, Z.J.[Zhen-Jiang],
Individual facial expression transferring using Active Appearance Model and FAP in MPEG-4,
IASP10(150-154).
IEEE DOI 1004
BibRef

Chetty, G.,
A Novel Shape Transformation Approach for Quantizing Facial Expressions,
DICTA08(168-175).
IEEE DOI 0812
BibRef

Tanaka, H.[Hidenori], Saito, H.[Hideo],
Dynamics Analysis of Facial Expressions for Person Identification,
CAIP09(107-115).
Springer DOI 0909
BibRef

Martin, C.[Christian], Werner, U.[Uwe], Gross, H.M.[Horst-Michael],
A real-time facial expression recognition system based on Active Appearance Models using gray images and edge images,
FG08(1-6).
IEEE DOI 0809
BibRef

di Gesů, V.[Vito], Zavidovique, B.[Bertrand], Tabacchi, M.E.[Marco Elio],
Face Expression Recognition through Broken Symmetries,
ICCVGIP08(714-721).
IEEE DOI 0812
BibRef

Li, H.[He], Buenaposada, J.M.[Jose M.], Baumela, L.[Luis],
Real-time facial expression recognition with illumination-corrected image sequences,
FG08(1-6).
IEEE DOI 0809
(Or Li He). BibRef

Cao, J.[Jie], Wang, H.[Hong], Hu, P.[Po], Miao, J.W.[Jun-Wei],
PAD Model Based Facial Expression Analysis,
ISVC08(II: 450-459).
Springer DOI 0812
BibRef

Tripathi, R.[Rakesh], Aravind, R.,
Recognizing Facial Expression Using Particle Filter Based Feature Points Tracker,
PReMI07(584-591).
Springer DOI 0712
BibRef

Noh, S.[Sungkyu], Park, H.[Hanhoon], Jin, Y.J.[Yoon-Jong], Park, J.I.[Jong-Il],
Feature-Adaptive Motion Energy Analysis for Facial Expression Recognition,
ISVC07(I: 452-463).
Springer DOI 0711
BibRef

Park, H.[Hanhoon], Park, J.I.[Jong-Il],
Analysis and Recognition of Facial Expression Based on Point-Wise Motion Energy,
ICIAR04(II: 700-708).
Springer DOI 0409
BibRef

Mercier, H.[Hugo], Peyras, J.[Julien], Dalle, P.[Patrice],
Occluded Facial Expression Tracking,
SCIA07(72-81).
Springer DOI 0706
BibRef

Fourney, A.[Adam], Laganiere, R.[Robert],
Constructing Face Image Logs that are Both Complete and Concise,
CRV07(488-494).
IEEE DOI 0705
BibRef

Sohail, A.S.M.[Abu Sayeed M.], Bhattacharya, P.[Prabir],
Classification of Facial Expressions Using K-Nearest Neighbor Classifier,
MIRAGE07(555-566).
Springer DOI 0703
See also Automated Lip Contour Detection Using the Level Set Segmentation Method. BibRef

Kumar, R.[Ranjeeth], Manikandan, S., Jawahar, C.V.,
Task Specific Factors for Video Characterization,
ICCVGIP06(376-387).
Springer DOI 0612
Learn factorization for facial expression recognition and synthesis. BibRef

Wu, Q.[Qi], Song, M.L.[Ming-Li], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
EigenExpress Approach in Recognition of Facial Expression Using GPU,
CVHCI06(12-20).
Springer DOI 0605
See also Audio-visual based emotion recognition-a new approach. BibRef

Yang, D.D.[Duan-Duan], Jin, L.W.[Lian-Wen], Yin, J.X.[Jun-Xun], Zhen, L.X.[Li-Xin], Huang, J.C.[Jian-Cheng],
Kernel Modified Quadratic Discriminant Function for Facial Expression Recognition,
IWICPAS06(66-75).
Springer DOI 0608
BibRef

Gralewski, L., Campbell, N., Penton-Voak, I.,
Using a Tensor Framework for the Analysis of Facial Dynamics,
FGR06(217-222).
IEEE DOI 0604
BibRef

Skelley, J.[James], Fischer, R.[Robert], Sarma, A.[Arup], Heisele, B.[Bernd],
Recognizing Expressions in a New Database Containing Played and Natural Expressions,
ICPR06(I: 1220-1225).
IEEE DOI 0609
BibRef

Kanaujia, A.[Atul], Metaxas, D.N.[Dimitris N.],
Recognizing Facial Expressions by Tracking Feature Shapes,
ICPR06(II: 33-38).
IEEE DOI 0609
BibRef

Kanaujia, A.[Atul], Huang, Y.[Yuchi], Metaxas, D.N.[Dimitris N.],
Tracking Facial Features Using Mixture of Point Distribution Models,
ICCVGIP06(492-503).
Springer DOI 0612
BibRef
Earlier:
Emblem Detections by Tracking Facial Features,
SLAM06(108).
IEEE DOI 0609
See also BMłE : Discriminative Density Propagation for Visual Tracking. BibRef

Isukapalli, R., Elgammal, A.M., Greiner, R.,
Learning to Identify Facial Expression During Detection Using Markov Decision Process,
FGR06(305-310).
IEEE DOI 0604
BibRef

Rose, N.,
Facial Expression Classification using Gabor and Log-Gabor Filters,
FGR06(346-350).
IEEE DOI 0604
BibRef

Abdel-Mottaleb, M.[Mohamed], Mahoor, M.H.[Mohammad H.],
Assessment of Blurring and Facial Expression Effects on Facial Image Recognition,
ICB06(12-18).
Springer DOI 0601
BibRef
And: A2, A1:
Facial Features Extraction in Color Images Using Enhanced Active Shape Model,
FGR06(144-148).
IEEE DOI 0604
BibRef

Tamminen, T., Kätsyri, J., Frydrych, M., Lampinen, J.,
Joint Modeling of Facial Expression and Shape from Video,
SCIA05(151-160).
Springer DOI 0506
BibRef

Ma, L.M.[Li-Min], Zhou, Q.A.[Qi-Ang], Celenk, M., Chelberg, D.,
Facial event mining using coupled hidden markov models,
ICIP04(II: 1405-1408).
IEEE DOI 0505
BibRef

Bettinger, F., Cootes, T.F.,
A model of facial behaviour,
AFGR04(123-128).
WWW Link. 0411
BibRef

Wang, Y.B.[Yu-Bo], Ai, H.Z.[Hai-Zhou], Wu, B.[Bo], Huang, C.[Chang],
Real Time Facial Expression Recognition with AdaBoost,
ICPR04(III: 926-929).
IEEE DOI 0409
BibRef

Hoey, J.[Jesse], Little, J.J.,
Bayesian clustering of optical flow fields,
ICCV03(1086-1093).
IEEE DOI 0311
Extraction of features in the flow field. BibRef

Hoey, J.[Jesse], Little, J.J.[James J.],
Value directed learning of gestures and facial displays,
CVPR04(II: 1026-1033).
IEEE DOI 0408
BibRef
And:
Decision Theoretic Modeling of Human Facial Displays,
ECCV04(Vol III: 26-38).
Springer DOI 0405
BibRef

Hoey, J.,
Clustering contextual facial display sequences,
AFGR02(339-344).
IEEE DOI 0206
BibRef

Gokturk, S.B.[Salih Burak], Bouguet, J.Y., Tomasi, C., Girod, B.,
Model-based face tracking for view-independent facial expression recognition,
AFGR02(272-278).
IEEE DOI 0206
BibRef

Kjeldsen, F.,
Facial Gestures,
RATFG01(xx-yy). 0106
BibRef

Bessho, H.[Hiroaki], Iwai, Y.[Yoshi], Yachida, M.[Masahiko],
Detecting Human Face and Recognizing Facial Expressions Using Potential Net,
ICPR00(Vol I: 1076-1079).
IEEE DOI 0009
BibRef

Wang, M.[Mei], Iwai, Y.[Yoshio], Yachida, M.[Masahiko],
Recognizing Degree of Continuous Facial Expression Change,
ICPR98(Vol II: 1188-1190).
IEEE DOI 9808
BibRef
And:
Expression Recognition from Time-Sequential Facial Images by Use of Expression Change Model,
AFGR98(324-329).
IEEE DOI BibRef

Shinza, Y.,
Facial Expression Analysis by Integrating Information of Feature-point Positions and Gray Levels of Facial Images,
ICIP00(Vol I: 466-469).
IEEE DOI 0008
BibRef

Piat, F.[Frederic], Tsapatsoulis, N.[Nikolas],
Exploring the time course of facial expressions with a fuzzy system,
ICME00(TA1). 0007
BibRef

Chen, X.[Xilen], Kwong, S.[Sam], Lu, Y.[Yan],
Human facial expression recognition based on learning subspace method,
ICME00(MP7). 0007
BibRef

Kurozumi, T.[Takayuki], Shinza, Y.[Yoshikazu], Kenmochi, Y.[Yukiko], Kotani, K.[Kazunori],
Facial Individuality and Expression Analysis by Eigenspace Method based on Class Features or Multiple discriminant Analysis,
ICIP99(I:648-652).
IEEE DOI BibRef 9900

Ohba, K.[Kohtaro], Tsukada, T.[Takehito], Kotoku, T.[Tetsuo], Tanie, K.[Kazuo],
Facial Expression Space for Smooth Tele-Communications,
AFGR98(378-383).
IEEE DOI BibRef 9800

Tanie, K.[Kazuo], Kotoku, T.[Tetsuo], Ohba, K.[Kohtaro], Tsukada, T.[Takehito],
Facial Expression Communication with FES,
ICPR98(Vol II: 1376-1378).
IEEE DOI 9808
BibRef

Otsuka, T.[Takahiro], Ohya, J.[Jun],
Recognizing Abruptly Changing Facial Expressions from Time-Sequential Face Images,
CVPR98(808-813).
IEEE DOI BibRef 9800
And:
Spotting Segments Displaying Facial Expression from Image Sequences Using HMM,
AFGR98(442-447).
IEEE DOI BibRef
Earlier:
Recognizing Multiple Persons' Facial Expressions Using HMM Based on Automatic Extraction of Significant Frames from Image Sequences,
ICIP97(II: 546-549).
IEEE DOI BibRef

Ohya, J., Kishino, F.,
Detecting Facial Expressions from Face Images Using a Genetic Algorithm,
ICPR96(III: 649-653).
IEEE DOI 9608
(ATR Communication Systems Res., J) BibRef

Moses, Y.[Yael], Reynard, D.[David], Blake, A.[Andrew],
Robust Real Time Tracking and Classification of Facial Expressions,
ICCV95(296-301).
IEEE DOI Facial expression -- real time system. BibRef 9500

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Sptatio-Temporal Analysis for Face Expression Recognition .


Last update:Sep 18, 2017 at 11:34:11