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.

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
And: A1, A2, Only:
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

Calvo, R.A.[Rafael A.], d'Mello, S.K.[Sidney K.],
Affect Detection: An Interdisciplinary Review of Models, Methods, and Their Applications,
AffCom(1), No. 1, January-June 2010, pp. 18-37.
IEEE DOI 1204
BibRef

d'Mello, S.K.[Sidney 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

Monkaresi, H., Bosch, N., Calvo, R.A.[Rafael A.], d'Mello, S.K.[Sidney 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

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.
DOI 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

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.J.[Li-Jiang], 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

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
BibRef

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 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.
WWW Link. 1601
BibRef

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.A.[Purvi A.], Mitra, S.K.[Suman K.],
ONPPn: Orthogonal Neighborhood Preserving Projection with Normalization and its applications,
IVC(76), 2018, pp. 64-75.
Elsevier DOI 1808
Dimensionality reduction, Orthogonality, Normalization, Neighborhood preserving projection BibRef

Koringa, P.A.[Purvi A.], 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
BibRef

Shikkenawis, G.[Gitam], Mitra, S.K.[Suman K.],
Variants of Locality Preserving Projection for Modular Face and Facial Expression Recognition,
PReMI17(141-147).
Springer DOI 1711
BibRef

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
BibRef

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],
Differential components of discriminative 2D Gaussian-Hermite moments for recognition of facial expressions,
PR(56), No. 1, 2016, pp. 100-115.
Elsevier DOI 1604
Differentially expressive components See also On the selection of 2D Krawtchouk moments for face recognition. BibRef

Tao, L., Matuszewski, B.J.[Bogdan J.],
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.,
Facial expression recognition via sparse representation using positive and reverse templates,
IET-IPR(10), No. 8, 2016, pp. 616-623.
DOI Link 1608
face recognition BibRef

Lopes, A.T.[André Teixeira], de Aguiar, E.[Edilson], de Souza, A.F.[Alberto F.], Oliveira-Santos, T.[Thiago],
Facial expression recognition with Convolutional Neural Networks: Coping with few data and the training sample order,
PR(61), No. 1, 2017, pp. 610-628.
Elsevier DOI 1609
Facial expression recognition BibRef

Elgarrai, Z.[Zineb], El Meslouhi, O.[Othmane], Kardouchi, M.[Mustapha], Allali, H.[Hakim],
Robust facial expression recognition system based on hidden Markov models,
MultInfoRetr(5), No. 4, November 2016, pp. 229-236.
Springer DOI 1612
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.
DOI Link 1612
BibRef

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

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

Sun, Z.[Zhe], Hu, Z.P.[Zheng-Ping], Wang, M.[Meng], Zhao, S.H.[Shu-Huan],
Individual-free representation-based classification for facial expression recognition,
SIViP(11), No. 4, May 2017, pp. 597-604.
WWW Link. 1704
BibRef

Sun, Z.[Zhe], Hu, Z.P.[Zheng-Ping], Wang, M.[Meng], Zhao, S.H.[Shu-Huan],
Discriminative feature learning-based pixel difference representation for facial expression recognition,
IET-CV(11), No. 8, December 2017, pp. 675-682.
DOI Link 1712
BibRef

Sun, Z.[Zhe], Hu, Z.P.[Zheng-Ping], Chiong, R.[Raymond], Wang, M.[Meng], Zhao, S.H.[Shu-Huan],
An adaptive weighted fusion model with two subspaces for facial expression recognition,
SIViP(12), No. 5, July 2018, pp. 835-843.
Springer DOI 1806
BibRef

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.
DOI Link 1708
BibRef

Ashir, A.M.[Abubakar M.], Eleyan, A.[Alaa],
Facial expression recognition based on image pyramid and single-branch decision tree,
SIViP(11), No. 6, September 2017, pp. 1017-1024.
WWW Link. 1708
BibRef

Zafeiriou, L.[Lazaros], Panagakis, Y.[Yannis], Pantic, M.[Maja], Zafeiriou, S.P.[Stefanos P.],
Nonnegative Decompositions for Dynamic Visual Data Analysis,
IP(26), No. 12, December 2017, pp. 5603-5617.
IEEE DOI 1710
BibRef
Earlier: A1, A4, A3, Only:
Deep Analysis of Facial Behavioral Dynamics,
FaceWild17(1988-1996)
IEEE DOI 1709
facial action units, facial behavior alignment. Convolutional codes, Covariance matrices, Decoding, Dynamics, Feature extraction, Noise reduction BibRef

Yan, H.B.[Hai-Bin],
Collaborative discriminative multi-metric learning for facial expression recognition in video,
PR(75), No. 1, 2018, pp. 33-40.
Elsevier DOI 1712
Facial expression recognition BibRef

Gupta, O.[Otkrist], Raviv, D.[Dan], Raskar, R.[Ramesh],
Illumination invariants in deep video expression recognition,
PR(76), No. 1, 2018, pp. 25-35.
Elsevier DOI 1801
Deep learning BibRef

Majumder, A.[Anima], Behera, L.[Laxmidhar], Subramanian, V.K.,
Automatic Facial Expression Recognition System Using Deep Network-Based Data Fusion,
Cyber(48), No. 1, January 2018, pp. 103-114.
IEEE DOI 1801
BibRef
Earlier: A1, A2, Only:
Facial Expression Recognition with Regional Features Using Local Binary Patterns,
CAIP13(556-563).
Springer DOI 1308
Active appearance model, Computer architecture, Data integration, Face, Face recognition, Feature extraction, support vector machine (SVM) BibRef

Yan, J.J.[Jing-Jie], Yan, B.J.[Bo-Jie], Liang, R.Y.[Rui-Yu], Lu, G.M.[Guan-Ming], Li, H.B.[Hai-Bo], Xie, S.P.[Shi-Peng],
Facial Expression Recognition via Regression-Based Robust Locality Preserving Projections,
IEICE(E101-D), No. 2, February 2018, pp. 564-567.
WWW Link. 1802
BibRef

Guo, X.[Xin], Tie, Y.[Yun], Ye, L.[Long], Yan, J.Y.[Jin-Yao],
Identifying facial expression using adaptive sub-layer compensation based feature extraction,
JVCIR(50), 2018, pp. 65-73.
Elsevier DOI 1802
Marr-Hildreth detector, Adaptive sub-layer compensation, Elastic body spline, Discriminative Isomap BibRef

Peng, Y.[Yao], Yin, H.J.[Hu-Jun],
Facial expression analysis and expression-invariant face recognition by manifold-based synthesis,
MVA(29), No. 2, February 2018, pp. 263-284.
Springer DOI 1802
BibRef

Chen, J.K.[Jun-Kai], Chen, Z.H.[Zeng-Hai], Chi, Z.[Zheru], Fu, H.[Hong],
Facial Expression Recognition in Video with Multiple Feature Fusion,
AffCom(9), No. 1, January 2018, pp. 38-50.
IEEE DOI 1804
BibRef
Earlier:
Dynamic texture and geometry features for facial expression recognition in video,
ICIP15(4967-4971)
IEEE DOI 1512
emotion recognition, face recognition, feature extraction, image texture, visual databases, AFEW, multiple feature fusion. Facial expression recognition BibRef

Zheng, W.M.[Wen-Ming], Zong, Y., Zhou, X.Y.[Xiao-Yan], Xin, M.,
Cross-Domain Color Facial Expression Recognition Using Transductive Transfer Subspace Learning,
AffCom(9), No. 1, January 2018, pp. 21-37.
IEEE DOI 1804
face recognition, feature extraction, image classification, image colour analysis, learning (artificial intelligence), transductive transfer learning BibRef

Zheng, W.M.[Wen-Ming], 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

Wu, Z.Q.[Zhao-Qi], Xiamixiding, R.[Reziwanguli], Sajjanhar, A.[Atul], Chen, J.[Juan], Wen, Q.[Quan],
Image Appearance-Based Facial Expression Recognition,
IJIG(18), No. 02, 2018, pp. 1850012.
DOI Link 1804
BibRef

Xie, S.Y.[Si-Yue], Hu, H.F.[Hai-Feng], Yin, Z.[Ziyu],
Facial expression recognition using intra-class variation reduced features and manifold regularisation dictionary pair learning,
IET-CV(12), No. 4, June 2018, pp. 458-465.
DOI Link 1805
BibRef

Saha, A.[Ashim], Pradhan, S.N.[Sambhu Nath],
Facial expression recognition based on eigenspaces and principle component analysis,
IJCVR(8), No. 2, 2018, pp. 190-200.
DOI Link 1806
BibRef

Wang, S., Pan, B., Chen, H., Ji, Q.,
Thermal Augmented Expression Recognition,
Cyber(48), No. 7, July 2018, pp. 2203-2214.
IEEE DOI 1806
Face recognition, Feature extraction, Image recognition, Support vector machines, Temperature distribution, Training, visible images BibRef

Sikka, K.[Karan], Sharma, G.,
Discriminatively Trained Latent Ordinal Model for Video Classification,
PAMI(40), No. 8, August 2018, pp. 1829-1844.
IEEE DOI 1807
Analytical models, Cameras, Face recognition, Feature extraction, Hidden Markov models, Pain, Trajectory, Weakly supervised leaning, video classification BibRef

Sikka, K.[Karan], Sharma, G., Bartlett, M.S.[Marian Stewart],
LOMo: Latent Ordinal Model for Facial Analysis in Videos,
CVPR16(5580-5589)
IEEE DOI 1612
BibRef

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

Huang, Y.[Ying], Yan, Y.[Yan], Chen, S.[Si], Wang, H.Z.[Han-Zi],
Expression-targeted feature learning for effective facial expression recognition,
JVCIR(55), 2018, pp. 677-687.
Elsevier DOI 1809
Facial expression recognition, Multi-task learning, Feature learning, Convolutional neural network 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

Turan, C.[Cigdem], Lam, K.M.[Kin-Man],
Histogram-based local descriptors for facial expression recognition (FER): A comprehensive study,
JVCIR(55), 2018, pp. 331-341.
Elsevier DOI 1809
BibRef
Earlier:
Region-based feature fusion for facial-expression recognition,
ICIP14(5966-5970)
IEEE DOI 1502
Feature extraction, Local descriptors, Facial expression recognition. Correlation BibRef

Liu, Y.Y.[Yuan-Yuan], Yuan, X.H.[Xiao-Hui], Gong, X.[Xi], Xie, Z.[Zhong], Fang, F.[Fang], Luo, Z.W.[Zhong-Wen],
Conditional convolution neural network enhanced random forest for facial expression recognition,
PR(84), 2018, pp. 251-261.
Elsevier DOI 1809
Classification, Feature extraction, Facial expression recognition, Head pose alignment, Conditional CoNERF BibRef

Li, S., Deng, W.,
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition,
IP(28), No. 1, January 2019, pp. 356-370.
IEEE DOI 1810
convolution, emotion recognition, expectation-maximisation algorithm, face recognition, deep learning BibRef

Li, S., Deng, W., Du, J.,
Reliable Crowdsourcing and Deep Locality-Preserving Learning for Expression Recognition in the Wild,
CVPR17(2584-2593)
IEEE DOI 1711
Compounds, Crowdsourcing, Databases, Face recognition, Gold, Machine learning, Reliability BibRef


Zeng, J.B.[Jia-Bei], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Facial Expression Recognition with Inconsistently Annotated Datasets,
ECCV18(XIII: 227-243).
Springer DOI 1810
BibRef

Racoviteanu, A.[Andrei], Felea, I.[Iulian], Florea, L.[Laura], Badea, M.[Mihai], Florea, C.[Corneliu],
Clustering Based Reference Normal Pose for Improved Expression Recognition,
ACIVS18(51-61).
Springer DOI 1810
BibRef

Lin, F., Hong, R., Zhou, W., Li, H.,
Facial Expression Recognition with Data Augmentation and Compact Feature Learning,
ICIP18(1957-1961)
IEEE DOI 1809
Face, Training, Databases, Face recognition, Shape, Solid modeling, cluster loss BibRef

Yang, P., Yang, H., Wei, Y., Tang, X.,
Geometry-Based Facial Expression Recognition via Large Deformation Diffeomorphic Metric Curve Mapping,
ICIP18(1937-1941)
IEEE DOI 1809
Shape, Face, Feature extraction, Image sequences, Trajectory, Jacobian matrices, Strain, Facial Expression Recognition, Shape, Curve BibRef

Shen, F., Liu, J., Wu, P.,
Double Complete D-LBP with Extreme Learning Machine Auto-Encoder and Cascade Forest for Facial Expression Analysis,
ICIP18(1947-1951)
IEEE DOI 1809
Databases, Forestry, Feature extraction, Histograms, Face recognition, Principal component analysis, Training, cascade forest BibRef

Fabiano, D., Canavan, S.,
Spontaneous and Non-Spontaneous 3D Facial Expression Recognition Using a Statistical Model with Global and Local Constraints,
ICIP18(3089-3093)
IEEE DOI 1809
Shape, Face, Face recognition, Databases, Solid modeling, Computational modeling, Expression, classification, non-spontaneous BibRef

Yang, H., Zhang, Z., Yin, L.,
Identity-Adaptive Facial Expression Recognition through Expression Regeneration Using Conditional Generative Adversarial Networks,
FG18(294-301)
IEEE DOI 1806
Databases, Face, Face recognition, Generators, Image recognition, Training, CNN, FER, GAN, Identity-adaptive BibRef

Cai, J., Meng, Z., Khan, A.S., Li, Z., O'Reilly, J., Tong, Y.,
Island Loss for Learning Discriminative Features in Facial Expression Recognition,
FG18(302-309)
IEEE DOI 1806
Backpropagation, Databases, Face recognition, Head, Lighting, Propagation losses, Training, Convolutional Neural Network, Island Loss BibRef

Aneja, D.[Deepali], Chaudhuri, B., Colburn, A.[Alex], Faigin, G.[Gary], Shapiro, L.G.[Linda G.], Mones, B.[Barbara],
Learning to Generate 3D Stylized Character Expressions from Humans,
WACV18(160-169)
IEEE DOI 1806
computer animation, face recognition, feedforward neural nets, learning (artificial intelligence), 3D animated character rig, 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
BibRef

Chen, Y.[Yunhua], Du, J.[Jin], Liu, Q.[Qian], Zeng, B.[Bi],
Robust Expression Recognition Using ResNet with a Biologically-Plausible Activation Function,
PSIVTWS17(426-438).
Springer DOI 1806
BibRef

Zeng, G., Zhou, J., Jia, X., Xie, W., Shen, L.,
Hand-Crafted Feature Guided Deep Learning for Facial Expression Recognition,
FG18(423-430)
IEEE DOI 1806
Convolution, Face, Feature extraction, Loss measurement, Optimization, Training, deep metric learning, hand crafted feature BibRef

Mikheeva, O., Ek, C.H., Kjellstroem, H.,
Perceptual Facial Expression Representation,
FG18(179-186)
IEEE DOI 1806
Computational modeling, Data models, Encoding, Face, Neural networks, Semantics, Standards, facial expressions, representation learning, variational auto encoder BibRef

Tran, E., Mayhew, M.B., Kim, H., Karande, P., Kaplan, A.D.,
Facial Expression Recognition Using a Large Out-of-Context Dataset,
Assist18(52-59)
IEEE DOI 1806
emotion recognition, face recognition, neural nets, FER+ dataset, MS-Celeb-1M dataset, emotion labels, emotion recognition model, Training BibRef

Gu, J., Hu, H., Xie, S.,
Enhanced dictionary pair learning sparse representation model for facial expression classification,
ICIP17(4467-4471)
IEEE DOI 1803
Dictionaries, Face, Feature extraction, Indexes, Training, dictionary pair learning, facial expression recognition, sparse representation BibRef

Dai, S., Man, H.,
A statistic manifold kernel with graph embedding discriminant analysis for action and expression recognition,
ICIP17(1792-1796)
IEEE DOI 1803
Face recognition, Kernel, Manifolds, Measurement, Task analysis, Visualization, YouTube, Action recognition, Statistic manifold kernel BibRef

Mavani, V., Raman, S., Miyapuram, K.P.,
Facial Expression Recognition Using Visual Saliency and Deep Learning,
CogCV17(2783-2788)
IEEE DOI 1802
Face recognition, Feature extraction, Machine learning, Testing, Training, Visualization 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

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.[Pablo], Buemi, M.E.[María Elena], Fernández, F.G.[Francisco Gómez], Mejail, M.[Marta],
A Citation k-NN Approach for Facial Expression Recognition,
CIARP17(1-9).
Springer DOI 1802
BibRef
Earlier:
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
BibRef

Chen, J.H.[Jin-Hui], Luo, Z.J.[Zhao-Jie], Takiguchi, T.[Tetsuya], Ariki, Y.[Yasuo],
Expression Recognition with Ri-HOG Cascade,
CV4AC16(III: 517-530).
Springer DOI 1704
BibRef

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
BibRef

Sun, Y.[Yuechuan], Yu, J.[Jun],
Facial Expression Recognition by Fusing Gabor and Local Binary Pattern Features,
MMMod17(II: 209-220).
Springer DOI 1701
BibRef

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
BibRef

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
BibRef

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
BibRef

Zhao, R., Gan, Q., Wang, S., Ji, Q.,
Facial Expression Intensity Estimation Using Ordinal Information,
CVPR16(3466-3474)
IEEE DOI 1612
BibRef

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
BibRef

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

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
BibRef

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
BibRef

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],
Evaluation of K-SVD Method in Facial Expression Recognition Based on Sparse Representation Problems,
AMDO16(135-146).
Springer DOI 1608
BibRef

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., Baktashmotlagh, M., Denman, S., Sridharan, S., Tien, D.N., Fookes, C.,
Deep discovery of facial motions using a shallow embedding layer,
ICIP17(1567-1571)
IEEE DOI 1803
Feature extraction, Hidden Markov models, Kernel, Machine learning, Pain, Training 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

Rifai, S.[Salah], Bengio, Y.[Yoshua], Courville, A.[Aaron], Vincent, P.[Pascal], Mirza, M.[Mehdi],
Disentangling Factors of Variation for Facial Expression Recognition,
ECCV12(VI: 808-822).
Springer DOI 1210
BibRef

Qiu, Q.A.[Qi-Ang], Hashemi, J.[Jordan], Sapiro, G.[Guillermo],
Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application,
HumID17(2564-2572)
IEEE DOI 1802
Cloning, Face, Face recognition, Shape, Testing, Training BibRef

Hashemi, J.[Jordan], Qiu, Q.A.[Qi-Ang], Sapiro, G.[Guillermo],
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)
IEEE DOI 1512
Facial expression recognition; deep neural networks features BibRef

Letournel, G., Bugeau, A., Ta, V.T., Domenger, J.P.,
Face de-identification with expressions preservation,
ICIP15(4366-4370)
IEEE DOI 1512
Adaptive Filtering; De-identification; Facial Expressions Recognition BibRef

Cornejo, J.Y.R.[Jadisha Yarif Ramírez], Pedrini, H.[Helio],
Emotion Recognition Based on Occluded Facial Expressions,
CIAP17(I:309-319).
Springer DOI 1711
BibRef

Cornejo, J.Y.R.[Jadisha Y. Ramírez], Pedrini, H.[Helio], Flórez-Revuelta, F.[Francisco],
Facial Expression Recognition with Occlusions Based on Geometric Representation,
CIARP15(263-270).
Springer DOI 1511
BibRef

Canário, J.P.[João Paulo], Oliveira, L.[Luciano],
Recognition of Facial Expressions Based on Deep Conspicuous Net,
CIARP15(255-262).
Springer DOI 1511
BibRef

de Vries, G.J.[Gert-Jan], Pauws, S.[Steffen], Biehl, M.[Michael],
Facial Expression Recognition Using Learning Vector Quantization,
CAIP15(II:760-771).
Springer DOI 1511
BibRef

Palestra, G.[Giuseppe], Pettinicchio, A.[Adriana], Del Coco, M.[Marco], Carcagnì, P.[Pierluigi], Leo, M.[Marco], Distante, C.[Cosimo],
Improved Performance in Facial Expression Recognition Using 32 Geometric Features,
CIAP15(II:518-528).
Springer DOI 1511
BibRef

Whitehill, J.[Jacob], Serpell, Z.[Zewelanji], Foster, A.[Aysha], Lin, Y.C.[Yi-Ching], Pearson, B.[Brittney], Bartlett, M.S.[Marian Stewart], Movellan, J.R.[Javier R.],
Towards an Optimal Affect-Sensitive Instructional System of cognitive skills,
CVPR4HB11(20-25).
IEEE DOI 1106
See also Dynamics of Facial Expression Extracted Automatically from Video. BibRef

Littlewort, G.C.[Gwen C.], Whitehill, J.[Jacob], Wu, T.F.[Ting-Fan], Fasel, I.R.[Ian R.], Frank, M.[Mark], Movellan, J.R.[Javier R.], Bartlett, M.S.[Marian Stewart],
The computer expression recognition toolbox (CERT),
FG11(298-305).
IEEE DOI 1103
Code, Facial Expressions. See also motion in emotion: A CERT based approach to the FERA emotion challenge, The. BibRef

Bartlett, M.S.[Marian S.], Littlewort, G.C.[Gwen C.], Wu, T.F.[Ting-Fan], Movellan, J.R.[Javier R.],
Computer Expression Recognition Toolbox,
FG08(1-2).
IEEE DOI 0809
Code, Facial Expressions. BibRef

Whitehill, J.[Jacob], Bartlett, M.S.[Marian S.], Movellan, J.R.[Javier R.],
Automatic facial expression recognition for intelligent tutoring systems,
CVPR4HB08(1-6).
IEEE DOI 0806
BibRef

Rajagopalan, S.S., Murthy, O.V.R.[O.V. Ramana], Goecke, R., Rozga, A.,
Play with me: Measuring a child's engagement in a social interaction,
FG15(1-8)
IEEE DOI 1508
behavioural sciences computing 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
employment BibRef

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.H.[Chung-Hyun],
Development of deep learning-based facial expression recognition system,
FCV15(1-4)
IEEE DOI 1506
Haar transforms BibRef

Tani, M.Y.K.[Mohammed Yassine Kazi], Lablack, A.[Adel], Ghomari, A.[Abdelghani], Bilasco, I.M.[Ioan Marius],
Events Detection Using a Video-Surveillance Ontology and a Rule-Based Approach,
CVONT14(299-308).
Springer DOI 1504
BibRef

Bilasco, I.M.[Ioan Marius], Lablack, A.[Adel], Dahmane, A.[Afifa], Danisman, T.[Taner],
Analysing User Visual Implicit Feedback in Enhanced TV Scenarios,
FacBeh14(315-324).
Springer DOI 1504
Surveillance setting, watching people watch tv. BibRef

Kahou, S.E.[Samira Ebrahimi], Froumenty, P.[Pierre], Pal, C.[Christopher],
Facial Expression Analysis Based on High Dimensional Binary Features,
CVLBP14(135-147).
Springer DOI 1504
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,
ISVC14(II: 809-819).
Springer DOI 1501
BibRef

Zhang, M.[Meng], Lee, D.J.[Dah-Jye], Desai, A.[Alok], Lillywhite, K.D.[Kirt D.], Tippetts, B.J.[Beau J.],
Automatic Facial Expression Recognition Using Evolution-Constructed Features,
ISVC14(II: 282-291).
Springer DOI 1501
BibRef

Fang, Y.C.[Yu-Chun], Chang, L.[Lu],
Multi-instance Feature Learning Based on Sparse Representation for Facial Expression Recognition,
MMMod15(I: 224-233).
Springer DOI 1501
BibRef

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
Face BibRef

Meng, Z.[Zibo], Liu, P.[Ping], Cai, J., Han, S.H.[Shiz-Hong], Tong, Y.[Yan],
Identity-Aware Convolutional Neural Network for Facial Expression Recognition,
FG17(558-565)
IEEE DOI 1707
Databases, Face recognition, Feature extraction, Image recognition, Measurement, Spatiotemporal phenomena, Training BibRef

Liu, P.[Ping], Han, S.H.[Shiz-Hong], Meng, Z.[Zibo], Tong, Y.[Yan],
Facial Expression Recognition via a Boosted Deep Belief Network,
CVPR14(1805-1812)
IEEE DOI 1409
BibRef

Liu, P.[Ping], Zhou, J.T.[Joey Tianyi], Tsang, I.W.H.[Ivor Wai-Hung], Meng, Z.[Zibo], Han, S.H.[Shiz-Hong], Tong, Y.[Yan],
Feature Disentangling Machine: A Novel Approach of Feature Selection and Disentangling in Facial Expression Analysis,
ECCV14(IV: 151-166).
Springer DOI 1408
BibRef

Hur, D.C.[Dong-Cheol], Wallraven, C., Lee, S.W.[Seong-Whan],
Recognizing Conversational Expressions Using Latent Dynamic Conditional Random Fields,
ACPR13(697-701)
IEEE DOI 1408
computer graphics BibRef

Zhao, K.[Kaili], Zhang, H.G.[Hong-Gang], Guo, J.[Jun],
An adaptive group lasso based multi-label regression approach for facial expression analysis,
ICIP14(1435-1439)
IEEE DOI 1502
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

Feng, X.Y.[Xiao-Yi], Lai, Y.M.[Yang-Ming], Mao, X.F.[Xiao-Fei], Peng, J.Y.[Jin-Ye], Jiang, X.Y.[Xiao-Yue], Hadid, A.[Abdenour],
Extracting Local Binary Patterns from Image Key Points: Application to Automatic Facial Expression Recognition,
SCIA13(339-348).
Springer DOI 1311
BibRef

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,
CIAP13(II:591-600).
Springer DOI 1309
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

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

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

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

Mourão, A.[André], Borges, P.[Pedro], Correia, N.[Nuno], Magalhães, J.[João],
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

Abbasnejad, I., Sridharan, S., Nguyen, D., Denman, S., Fookes, C., Lucey, S.,
Using Synthetic Data to Improve Facial Expression Analysis with 3D Convolutional Networks,
AMFG17(1609-1618)
IEEE DOI 1802
Face, Feature extraction, Gold, Hidden Markov models, Shape, Training 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

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], 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 Gesù, 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 BM³E : 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).
IEEE DOI 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

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:Oct 15, 2018 at 09:19:25