22.3.6.1.12 Spontaneous Extpressions

Chapter Contents (Back)
Facial Expressions. Expressions. Spontaneous Expressions.
See also Micro Expressions, Subtle Expressions, Face Expression Recognition.

Children Spontaneous Facial Expression Video Database (LIRIS-CSE),
2019. Dataset, Facial Expressions.
WWW Link. spontaneous / natural facial expressions of 12 children in diverse settings with variable recording scenarios showing six universal or prototypic emotional expressions (happiness, sadness, anger, surprise, disgust and fear).
See also novel database of children's spontaneous facial expressions (LIRIS-CSE), A.

Littlewort, G.C.[Gwen C.], Bartlett, M.S.[Marian Stewart], Fasel, I.R.[Ian R.], Susskind, J.[Joshua], Movellan, J.R.[Javier R.],
Dynamics of Facial Expression Extracted Automatically from Video,
IVC(24), No. 6, 1 June 2006, pp. 615-625.
Elsevier DOI 0606
BibRef
Earlier: FaceVideo04(80).
IEEE DOI 0502
Facial action coding; Support vector machines; Adaboost
See also Towards an Optimal Affect-Sensitive Instructional System of cognitive skills. BibRef

Bartlett, M.S.[Marian Stewart], Littlewort, G.C.[Gwen C.], Frank, M.[Mark], Lainscsek, C.[Claudia], Fasel, I.R.[Ian R.], Movellan, J.R.[Javier R.],
Fully Automatic Facial Action Recognition in Spontaneous Behavior,
FGR06(223-230).
IEEE DOI 0604
BibRef
Earlier:
Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior,
CVPR05(II: 568-573).
IEEE DOI 0507
BibRef

Braathen, B., Bartlett, M.S., Littlewort, G.C., Smith, E., Movellan, J.R.,
An approach to automatic recognition of spontaneous facial actions,
AFGR02(345-350).
IEEE DOI 0206
BibRef

Whitehill, J.[Jacob], Littlewort, G.C.[Gwen C.], Fasel, I.R.[Ian R.], Bartlett, M.S.[Marian S.], Movellan, J.R.[Javier R.],
Toward Practical Smile Detection,
PAMI(31), No. 11, November 2009, pp. 2106-2111.
IEEE DOI 0910
Explore whether learning can be applied to a practical scenario. Includes a dataset of thousands of different people. BibRef

Wu, T.F.[Ting-Fan], Butko, N.J.[Nicholas J.], Ruvolo, P.[Paul], Whitehill, J.[Jacob], Bartlett, M.S.[Marian S.], Movellan, J.R.[Javier R.],
Multilayer Architectures for Facial Action Unit Recognition,
SMC-B(42), No. 4, August 2012, pp. 1027-1038.
IEEE DOI 1208
BibRef
Earlier:
Action unit recognition transfer across datasets,
FG11(889-896).
IEEE DOI 1103
BibRef

Park, S.S.[Sung-Soo], Kim, D.J.[Dai-Jin],
Subtle facial expression recognition using motion magnification,
PRL(30), No. 7, 1 May 2009, pp. 708-716.
Elsevier DOI 0904
BibRef
Earlier:
Spontaneous facial expression classification with facial motion vectors,
FG08(1-6).
IEEE DOI 0809
Subtle facial expression recognition; Motion magnification; Motion estimation; Feature point tracking; Active appearance models BibRef

Park, S.S.[Sung-Soo], Shin, J.J.[Jong-Ju], Kim, D.J.[Dai-Jin],
Facial expression analysis with facial expression deformation,
ICPR08(1-4).
IEEE DOI 0812
BibRef

Pfister, T.[Tomas], Pietikäinen, M.[Matti],
Automatic identification of facial clues to lies,
SPIE(Newsroom), January 4, 2012.
DOI Link 1201
Computers can now detect micro-expressions that reveal emotions people try to conceal. BibRef

Pfister, T.[Tomas], Li, X.B.[Xiao-Bai], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
Recognising spontaneous facial micro-expressions,
ICCV11(1449-1456).
IEEE DOI
PDF File. Video of talk:
WWW Link. 1201
BibRef
And:
Differentiating spontaneous from posed facial expressions within a generic facial expression recognition framework,
SISM11(868-875).
IEEE DOI 1201
BibRef

Zhu, Y.F.[Yun-Feng], de la Torre, F.[Fernando], Cohn, J.F.[Jeffery F.], Zhang, Y.J.[Yu-Jin],
Dynamic Cascades with Bidirectional Bootstrapping for Action Unit Detection in Spontaneous Facial Behavior,
AffCom(2), No. 2, 2011, pp. 79-91.
IEEE DOI 1202
BibRef

Ding, X.Y.[Xiao-Yu], Chu, W.S.[Wen-Sheng], de la Torre, F.[Fernando], Cohn, J.F.[Jeffery F.], Wang, Q.[Qiao],
Cascade of Tasks for facial expression analysis,
IVC(51), No. 1, 2016, pp. 36-48.
Elsevier DOI 1606
BibRef
Earlier:
Facial Action Unit Event Detection by Cascade of Tasks,
ICCV13(2400-2407)
IEEE DOI 1403
Automated facial expression analysis BibRef

Wan, S.H.[Shao-Hua], Aggarwal, J.K.,
Spontaneous facial expression recognition: A robust metric learning approach,
PR(47), No. 5, 2014, pp. 1859-1868.
Elsevier DOI 1402
BibRef
Earlier:
A scalable metric learning-based voting method for expression recognition,
FG13(1-8)
IEEE DOI 1309
Spontaneous facial expression recognition Gabor filters BibRef

Abd El Meguid, M.K., Levine, M.D.,
Fully automated recognition of spontaneous facial expressions in videos using random forest classifiers,
AffCom(5), No. 2, April 2014, pp. 141-154.
IEEE DOI 1411
decision trees BibRef

Wang, S.F.[Shang-Fei], Wu, C.L.[Chong-Liang], He, M.H.[Meng-Hua], Wang, J.[Jun], Ji, Q.A.[Qi-Ang],
Posed and spontaneous expression recognition through modeling their spatial patterns,
MVA(26), No. 2-3, April 2015, pp. 219-231.
Springer DOI 1504
BibRef

Wang, S.F.[Shang-Fei], Wu, C.L.[Chong-Liang], Ji, Q.A.[Qi-Ang],
Capturing global spatial patterns for distinguishing posed and spontaneous expressions,
CVIU(147), No. 1, 2016, pp. 69-76.
Elsevier DOI 1605
Global spatial patterns BibRef

Wu, C.L.[Chong-Liang], Wang, S.F.[Shang-Fei],
Posed and Spontaneous Expression Recognition Through Restricted Boltzmann Machine,
MMMod16(I: 127-137).
Springer DOI 1601
BibRef

Wu, S.[Shan], Wang, S.F.[Shang-Fei], Wang, J.[Jun],
Enhanced facial expression recognition by age,
FG15(1-6)
IEEE DOI 1508
belief networks BibRef

Liu, Z.L.[Zhi-Lei], Wang, S.F.[Shang-Fei],
Posed and spontaneous expression distinguishment from infrared thermal images,
ICPR12(1108-1111).
WWW Link. 1302
BibRef

Bousmalis, K.[Konstantinos], Mehu, M.[Marc], Pantic, M.[Maja],
Towards the automatic detection of spontaneous agreement and disagreement based on nonverbal behaviour: A survey of related cues, databases, and tools,
IVC(31), No. 2, February 2013, pp. 203-221.
Elsevier DOI 1303
Agreement; Disagreement; Nonverbal behaviour; Social signal processing BibRef

Bousmalis, K.[Konstantinos], Morency, L.P.[Louis-Philippe], Pantic, M.[Maja],
Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition,
FG11(746-752).
IEEE DOI 1103
BibRef

Liu, M.Y.[Meng-Yi], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Learning prototypes and similes on Grassmann manifold for spontaneous expression recognition,
CVIU(147), No. 1, 2016, pp. 95-101.
Elsevier DOI 1605
Expression prototype BibRef

Liu, M.Y.[Meng-Yi], Shan, S.G.[Shi-Guang], Wang, R.P.[Rui-Ping], Chen, X.L.[Xi-Lin],
Learning Expressionlets via Universal Manifold Model for Dynamic Facial Expression Recognition,
IP(25), No. 12, December 2016, pp. 5920-5932.
IEEE DOI 1612
emotion recognition BibRef

Liu, M.Y.[Meng-Yi], Li, S.X.[Shao-Xin], Shan, S.G.[Shi-Guang], Wang, R.P.[Rui-Ping], Chen, X.L.[Xi-Lin],
Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis,
ACCV14(IV: 143-157).
Springer DOI 1504
BibRef
Earlier: A1, A3, A4, A5, Only:
Learning Expressionlets on Spatio-temporal Manifold for Dynamic Facial Expression Recognition,
CVPR14(1749-1756)
IEEE DOI 1409
BibRef

Liong, S.T.[Sze-Teng], See, J.[John], Phan, R.C.W.[Raphael C.W.], Oh, Y.H.[Yee-Hui], Ngo, A.C.L.[Anh Cat Le], Wong, K.[Kok_Sheik], Tan, S.W.[Su-Wei],
Spontaneous subtle expression detection and recognition based on facial strain,
SP:IC(47), No. 1, 2016, pp. 170-182.
Elsevier DOI 1610
Subtle expressions BibRef

Li, Y.Q.[Yong-Qiang], Mavadati, S.M.[S. Mohammad], Mahoor, M.H.[Mohammad H.], Zhao, Y.P.[Yong-Ping], Ji, Q.A.[Qi-Ang],
Measuring the intensity of spontaneous facial action units with dynamic Bayesian network,
PR(48), No. 11, 2015, pp. 3417-3427.
Elsevier DOI 1506
BibRef
Earlier: A1, A3, A3, A5, Only:
A unified probabilistic framework for measuring the intensity of spontaneous facial action units,
FG13(1-7)
IEEE DOI 1309
Spontaneous facial expression Bayes methods BibRef

Zhang, X.[Xiao], Mahoor, M.H.[Mohammad H.],
Task-dependent multi-task multiple kernel learning for facial action unit detection,
PR(51), No. 1, 2016, pp. 187-196.
Elsevier DOI 1601
Facial action unit detection BibRef

Zhang, X.[Xiao], Mahoor, M.H., Nielsen, R.D.,
On multi-task learning for facial action unit detection,
IVCNZ13(202-207)
IEEE DOI 1402
face recognition BibRef

Zhang, X.[Xiao], Mahoor, M.H.[Mohammad H.], Mavadati, S.M.[S. Mohammad], Cohn, J.F.[Jeffrey F.],
A lp-norm MTMKL framework for simultaneous detection of multiple facial action units,
WACV14(1104-1111)
IEEE DOI 1406
Databases BibRef

Mohammadi, M.R., Fatemizadeh, E., Mahoor, M.H.,
An Adaptive Bayesian Source Separation Method for Intensity Estimation of Facial AUs,
AffCom(10), No. 2, April 2019, pp. 144-154.
IEEE DOI 1906
Gold, Estimation, Source separation, Bayes methods, Databases, Encoding, Linear regression, Bayesian method, facial action units, sparse regression BibRef

Khorrami, P., Paine, T.L., Huang, T.S.,
Do Deep Neural Networks Learn Facial Action Units When Doing Expression Recognition?,
CV4AC15(19-27)
IEEE DOI 1602
Benchmark testing BibRef

Mohammadi, M.R., Fatemizadeh, E., Mahoor, M.H.,
Intensity Estimation of Spontaneous Facial Action Units Based on Their Sparsity Properties,
Cyber(46), No. 3, March 2016, pp. 817-826.
IEEE DOI 1602
Atomic measurements BibRef

Liu, Y.J., Zhang, J.K., Yan, W.J., Wang, S.J., Zhao, G., Fu, X.,
A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition,
AffCom(7), No. 4, October 2016, pp. 299-310.
IEEE DOI 1612
Adaptive optics BibRef

Huang, M.X., Ngai, G., Hua, K.A., Chan, S.C.F., Leong, H.V.,
Identifying User-Specific Facial Affects from Spontaneous Expressions with Minimal Annotation,
AffCom(7), No. 4, October 2016, pp. 360-373.
IEEE DOI 1612
Data models BibRef

Ngo, A.C.L.[A. C. Le], See, J., Phan, R.C.W.[Raphael Chung-Wei],
Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis and Application,
AffCom(8), No. 3, July 2017, pp. 396-411.
IEEE DOI 1709
Databases, Dynamics, Emotion recognition, Face recognition, Feature extraction, Image reconstruction, Visualization, Micro-expression recognition, Spontaneous subtle emotions, data sparsity, dynamic mode decomposition, emotion, suppression BibRef

Perusquía-Hernández, M., Hirokawa, M., Suzuki, K.,
A Wearable Device for Fast and Subtle Spontaneous Smile Recognition,
AffCom(8), No. 4, October 2017, pp. 522-533.
IEEE DOI 1712
Electrodes, Electromyography, Emotion recognition, Face, Face recognition, Robustness, Tools, Electromyography, wearable interface BibRef

Davison, A.K., Lansley, C., Costen, N., Tan, K., Yap, M.H.,
SAMM: A Spontaneous Micro-Facial Movement Dataset,
AffCom(9), No. 1, January 2018, pp. 116-129.
IEEE DOI 1804
emotion recognition, face recognition, image motion analysis, learning (artificial intelligence), micro-expressions BibRef

Alashkar, T., Amor, B.B., Daoudi, M., Berretti, S.,
Spontaneous Expression Detection from 3D Dynamic Sequences by Analyzing Trajectories on Grassmann Manifolds,
AffCom(9), No. 2, April 2018, pp. 271-284.
IEEE DOI 1806
Databases, Face, Manifolds, Pain, Videos, Depth sequences, spontaneous expression BibRef

Perveen, N.[Nazil], Roy, D.[Debaditya], Mohan, C.K.[Chalavadi Krishna],
Spontaneous Expression Recognition Using Universal Attribute Model,
IP(27), No. 11, November 2018, pp. 5575-5584.
IEEE DOI 1809
emotion recognition, face recognition, feature extraction, Gaussian processes, image classification, image motion analysis, Gaussian mixture model BibRef

Qu, F., Wang, S., Yan, W., Li, H., Wu, S., Fu, X.,
CAS(ME)^2: A Database for Spontaneous Macro-Expression and Micro-Expression Spotting and Recognition,
AffCom(9), No. 4, October 2018, pp. 424-436.
IEEE DOI 1812
Databases, Videos, Face recognition, Psychology, Encoding, Labeling, Macro-expression and micro-expression spotting, facial action coding system BibRef

Li, X., Hong, X., Moilanen, A., Huang, X., Pfister, T., Zhao, G., Pietikäinen, M.,
Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-Expression Spotting and Recognition Methods,
AffCom(9), No. 4, October 2018, pp. 563-577.
IEEE DOI 1812
Videos, Cameras, Training, Face recognition, Emotion recognition, Micro-expression, facial expression recognition, HOG BibRef

Dapogny, A.[Arnaud], Bailly, K.[Kevin], Dubuisson, S.[Séverine],
Confidence-Weighted Local Expression Predictions for Occlusion Handling in Expression Recognition and Action Unit Detection,
IJCV(126), No. 2-4, April 2018, pp. 255-271.
Springer DOI 1804
BibRef
Earlier:
Multi-Output Random Forests for Facial Action Unit Detection,
FG17(135-140)
IEEE DOI 1707
BibRef
Earlier:
Pairwise Conditional Random Forests for Facial Expression Recognition,
ICCV15(3783-3791)
IEEE DOI 1602
BibRef
And:
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

Dapogny, A.[Arnaud], Bailly, K.[Kevin], Dubuisson, S.[Séverine],
Dynamic Pose-Robust Facial Expression Recognition by Multi-View Pairwise Conditional Random Forests,
AffCom(10), No. 2, April 2019, pp. 167-181.
IEEE DOI 1906
Face, Videos, Training, Vegetation, Testing, Spontaneous facial expression recognition, dynamics, real-time BibRef

Dapogny, A.[Arnaud], Bailly, K.[Kevin],
Investigating Deep Neural Forests for Facial Expression Recognition,
FG18(629-633)
IEEE DOI 1806
Face, Forestry, Noise measurement, Radio frequency, Runtime, Training, Vegetation, Deep learning, Deep neural forests, Random Forests BibRef

Khan, R.A.[Rizwan Ahmed], Crenn, A.[Arthur], Meyer, A.[Alexandre], Bouakaz, S.[Saida],
A novel database of children's spontaneous facial expressions (LIRIS-CSE),
IVC(83-84), 2019, pp. 61-69.
Elsevier DOI 1904

See also Children Spontaneous Facial Expression Video Database (LIRIS-CSE). Facial expressions database, Spontaneous expressions, Convolutional neural network, Expression recognition, Transfer learning BibRef

Bian, C.L.[Cun-Ling], Zhang, Y.[Ya], Yang, F.[Fei], Bi, W.[Wei], Lu, W.G.[Wei-Gang],
Spontaneous facial expression database for academic emotion inference in online learning,
IET-CV(13), No. 3, April 2019, pp. 329-337.
DOI Link 1904
BibRef

Xia, Z., Hong, X., Gao, X., Feng, X., Zhao, G.,
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-Expressions,
MultMed(22), No. 3, March 2020, pp. 626-640.
IEEE DOI 2003
BibRef
And: Corrections: MultMed(22), No. 4, April 2020, pp. 1111-1111.
IEEE DOI 2004
Spatiotemporal phenomena, Feature extraction, Task analysis, Videos, Training, Strain, Deep learning, Balanced Loss BibRef

Zhu, X.L.[Xiao-Liang], Chen, Z.J.[Zi-Jian],
Dual-modality spatiotemporal feature learning for spontaneous facial expression recognition in e-learning using hybrid deep neural network,
VC(36), No. 4, April 2020, pp. 743-755.
WWW Link. 2004
BibRef

Qayyum, A.[Abdul], Razzak, I.[Imran], Moustafa, N.[Nour], Mazher, M.[Moona],
Progressive ShallowNet for large scale dynamic and spontaneous facial behaviour analysis in children,
IVC(119), 2022, pp. 104375.
Elsevier DOI 2202
Psychological health, Human computer interaction, Emotion care, Depressed, Facial behavior recognition, Patient monitoring BibRef

Li, J.T.[Jing-Ting], Dong, Z.Z.[Zi-Zhao], Lu, S.Y.[Shao-Yuan], Wang, S.J.[Su-Jing], Yan, W.J.[Wen-Jing], Ma, Y.[Yinhuan], Liu, Y.[Ye], Huang, C.[Changbing], Fu, X.L.[Xiao-Lan],
CAS(ME)3: A Third Generation Facial Spontaneous Micro-Expression Database With Depth Information and High Ecological Validity,
PAMI(45), No. 3, March 2023, pp. 2782-2800.
IEEE DOI 2302
Databases, Psychology, Face recognition, Videos, Iron, Emotion recognition, Trajectory, Micro-expression, multi-modality BibRef

Li, X.B.[Xiao-Bai], Cheng, S.[Shiyang], Li, Y.[Yante], Behzad, M.[Muzammil], Shen, J.[Jie], Zafeiriou, S.[Stefanos], Pantic, M.[Maja], Zhao, G.Y.[Guo-Ying],
4DME: A Spontaneous 4D Micro-Expression Dataset With Multimodalities,
AffCom(14), No. 4, October 2023, pp. 3031-3047.
IEEE DOI 2312
BibRef

Ulrich, L.[Luca], Marcolin, F.[Federica], Vezzetti, E.[Enrico], Nonis, F.[Francesca], Mograbi, D.C.[Daniel C.], Scurati, G.W.[Giulia Wally], Dozio, N.[Nicolò], Ferrise, F.[Francesco],
CalD3r and MenD3s: Spontaneous 3D facial expression databases,
JVCIR(98), 2024, pp. 104033.
Elsevier DOI 2402
3D facial expression, Spontaneous expressions, Facial expression recognition, Ecological validity, Human-computer interaction BibRef


Healey, J., Wang, H., Chhaya, N.,
Challenges in Recognizing Spontaneous and Intentionally Expressed Reactions to Positive and Negative Images,
EmotioNet20(1622-1630)
IEEE DOI 2008
Emotion recognition, Face recognition, Encoding, Image recognition BibRef

Yang, Y.[Yan], Hossain, M.Z.[Md Zakir], Gedeon, T.[Tom], Rahman, S.[Shafin],
Realsmilenet: A Deep End-to-end Network for Spontaneous and Posed Smile Recognition,
ACCV20(V:21-37).
Springer DOI 2103
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

Han, Y., Li, B., Lai, Y., Liu, Y.,
CFD: A Collaborative Feature Difference Method for Spontaneous Micro-Expression Spotting,
ICIP18(1942-1946)
IEEE DOI 1809
Feature extraction, Collaboration, Video sequences, Histograms, Optical imaging, Face, Indexes, Micro-expression, spotting features, weighted ROIs BibRef

Hadar, D., Tron, T., Weinshall, D.,
Implicit Media Tagging and Affect Prediction from RGB-D Video of Spontaneous Facial Expressions,
FG17(727-734)
IEEE DOI 1707
Cameras, Correlation, Databases, Media, Predictive models, Reliability, Tagging BibRef

Girard, J.M., Chu, W.S., Jeni, L.A., Cohn, J.F.,
Sayette Group Formation Task (GFT) Spontaneous Facial Expression Database,
FG17(581-588)
IEEE DOI 1707
Alcoholic beverages, Cameras, Context, Databases, Encoding, Gold, Reliability BibRef

Shibasaki, Y.[Yasuhiro], Funakoshi, K.[Kotaro], Shinoda, K.[Koichi],
Boredom Recognition Based on Users' Spontaneous Behaviors in Multiparty Human-Robot Interactions,
MMMod17(I: 677-689).
Springer DOI 1701
BibRef

Mandal, B.[Bappaditya], Lee, D.[David], Ouarti, N.[Nizar],
Distinguishing Posed and Spontaneous Smiles by Facial Dynamics,
SFBA16(I: 552-566).
Springer DOI 1704
BibRef

Shreve, M., Bernal, E.A., Li, Q., Kumar, J., Bala, R.,
A study on the discriminability of faces from spontaneous facial expressions,
ICIP16(1674-1678)
IEEE DOI 1610
Feature extraction BibRef

Zaker, N., Mahoor, M.H., Messinger, D.S., Cohn, J.F.,
Jointly detecting infants' multiple facial action units expressed during spontaneous face-to-face communication,
ICIP14(1357-1360)
IEEE DOI 1502
Equations BibRef

Liu, P.[Peng], Yin, L.J.[Li-Jun],
Spontaneous facial expression analysis based on temperature changes and head motions,
FG15(1-6)
IEEE DOI 1508
emotion recognition BibRef

Reale, M.[Michael], Liu, P.[Peng], Yin, L.J.[Li-Jun],
Using eye gaze, head pose, and facial expression for personalized non-player character interaction,
CVCG11(13-18).
IEEE DOI 1106
BibRef

Sun, Y.[Yi], Reale, M.[Michael], Yin, L.J.[Li-Jun],
Recognizing partial facial action units based on 3D dynamic range data for facial expression recognition,
FG08(1-8).
IEEE DOI 0809
BibRef

Tong, Y.[Yan], Chen, J.X.[Ji-Xu], Ji, Q.A.[Qi-Ang],
Modeling and exploiting the spatio-temporal facial action dependencies for robust spontaneous facial expression recognition,
CVPR4HB09(34-41).
IEEE DOI 0906
BibRef

Ngo, A.C.L.[Anh Cat Le], Phan, R.C.W.[Raphael Chung-Wei], See, J.[John],
Spontaneous Subtle Expression Recognition: Imbalanced Databases and Solutions,
ACCV14(IV: 33-48).
Springer DOI 1504
BibRef

Yan, W.J.[Wen-Jing], Wu, Q.[Qi], Liu, Y.J.[Yong-Jin], Wang, S.J.[Su-Jing], Fu, X.L.[Xiao-Lan],
CASME database: A dataset of spontaneous micro-expressions collected from neutralized faces,
FG13(1-7)
IEEE DOI 1309
Dataset, Facial Expressions. computer vision BibRef

Li, X.B.[Xiao-Bai], Pfister, T., Huang, X.H.[Xiao-Hua], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti],
A Spontaneous Micro-expression Database: Inducement, collection and baseline,
FG13(1-6)
IEEE DOI 1309
computer vision BibRef

Kodra, E., Senechal, T., McDuff, D.J., El Kaliouby, R.,
From dials to facial coding: Automated detection of spontaneous facial expressions for media research,
FG13(1-6)
IEEE DOI 1309
face recognition BibRef

Reilly Delannoy, J.[Jane], McDonald, J.B.[John B.],
Estimation of the Temporal Dynamics of Posed and Spontaneous Facial Expression Formation Using LLE,
IMVIP09(139-144).
IEEE DOI 0909
BibRef
Earlier:
Automatic estimation of the dynamics of facial expression using a three-level model of intensity,
FG08(1-6).
IEEE DOI 0809
BibRef

Zeng, Z.H.[Zhi-Hong], Fu, Y.[Yun], Roisman, G.I., Wen, Z.[Zhen], Hu, Y.X.[Yu-Xiao], Huang, T.S.,
One-Class Classification for Spontaneous Facial Expression Analysis,
FGR06(281-286).
IEEE DOI 0604
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Facial Feature Tracking for Expressions .


Last update:Jul 13, 2024 at 15:27:21