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.
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
Komori, M.[Masashi],
Kamide, H.[Hiroko],
Kawamura, S.[Satoru],
Nagaoka, C.[Chika],
Asymmetry in Facial Expressions as a Function of Social Skills,
IEICE(E96-D), No. 3, March 2013, pp. 507-513.
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1303
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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
Wang, S.,
Yan, W.,
Li, X.,
Zhao, G.,
Zhou, C.,
Fu, X.,
Yang, M.,
Tao, J.,
Micro-Expression Recognition Using Color Spaces,
IP(24), No. 12, December 2015, pp. 6034-6047.
IEEE DOI
1512
Color
BibRef
Xia, Z.Q.[Zhao-Qiang],
Feng, X.Y.[Xiao-Yi],
Peng, J.Y.[Jin-Ye],
Peng, X.L.[Xian-Lin],
Zhao, G.Y.[Guo-Ying],
Spontaneous micro-expression spotting via geometric deformation
modeling,
CVIU(147), No. 1, 2016, pp. 87-94.
Elsevier DOI
1605
Micro-expression spotting
BibRef
Lu, P.[Ping],
Zheng, W.M.[Wen-Ming],
Wang, Z.Y.[Zi-Yan],
Li, Q.A.[Qi-Ang],
Zong, Y.[Yuan],
Xin, M.H.[Ming-Hai],
Wu, L.[Lenan],
Micro-Expression Recognition by Regression Model and Group Sparse
Spatio-Temporal Feature Learning,
IEICE(E99-D), No. 6, June 2016, pp. 1694-1697.
WWW Link.
1606
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
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
Huang, M.X.,
Li, J.,
Ngai, G.,
Leong, H.V.,
Hua, K.A.,
Fast-PADMA: Rapidly Adapting Facial Affect Model From Similar
Individuals,
MultMed(20), No. 7, July 2018, pp. 1901-1915.
IEEE DOI
1806
Adaptation models, Computational modeling, Data models,
Face recognition, Hidden Markov models, Prototypes, Training,
user-adaptive model
BibRef
Xie, W.,
Shen, L.,
Jiang, J.,
A Novel Transient Wrinkle Detection Algorithm and Its Application for
Expression Synthesis,
MultMed(19), No. 2, February 2017, pp. 279-292.
IEEE DOI
1702
emotion recognition
BibRef
He, J.[Jiachi],
Hu, J.F.[Jian-Fang],
Lu, X.[Xi],
Zheng, W.S.[Wei-Shi],
Multi-task mid-level feature learning for micro-expression
recognition,
PR(66), No. 1, 2017, pp. 44-52.
Elsevier DOI
1704
Micro-expression recognition
BibRef
Xu, F.,
Zhang, J.,
Wang, J.Z.,
Microexpression Identification and Categorization Using a Facial
Dynamics Map,
AffCom(8), No. 2, April 2017, pp. 254-267.
IEEE DOI
1706
Adaptive optics, Cameras, Face, Frequency division multiplexing,
Optical imaging, Strain, Tagging, Microexpression, emotions,
expression recognition, face recognition, optical, flow
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
Liong, S.T.[Sze-Teng],
See, J.[John],
Wong, K.[Kok_Sheik],
Phan, R.C.W.[Raphael Chung-Wei],
Less is more: Micro-expression recognition from video using apex
frame,
SP:IC(62), 2018, pp. 82-92.
Elsevier DOI
1802
BibRef
Earlier:
Automatic Micro-expression Recognition from Long Video Using a Single
Spotted Apex,
WFI16(II: 345-360).
Springer DOI
1704
Micro-expressions, Emotion, Apex, Optical flow, Optical strain, Recognition
BibRef
Zong, Y.[Yuan],
Zheng, W.M.[Wen-Ming],
Huang, X.H.[Xiao-Hua],
Shi, J.G.[Jin-Gang],
Cui, Z.[Zhen],
Zhao, G.Y.[Guo-Ying],
Domain Regeneration for Cross-Database Micro-Expression Recognition,
IP(27), No. 5, May 2018, pp. 2484-2498.
IEEE DOI
1804
Databases, Emotion recognition, Face recognition, Speech,
Speech recognition, Testing, Training,
transfer learning
BibRef
Jiang, X.X.[Xing-Xun],
Zong, Y.[Yuan],
Zheng, W.M.[Wen-Ming],
Liu, J.T.[Jia-Teng],
Wei, M.T.[Meng-Ting],
Seeking Salient Facial Regions for Cross-Database Micro-Expression
Recognition,
ICPR22(1019-1025)
IEEE DOI
2212
Visualization, Image recognition, Databases, Face recognition,
Imaging, Feature extraction, Computational efficiency
BibRef
Xia, W.C.[Wan-Chuang],
Zheng, W.M.[Wen-Ming],
Zong, Y.[Yuan],
Jiang, X.X.[Xing-Xun],
Motion Attention Deep Transfer Network for Cross-database
Micro-expression Recognition,
FBE20(679-693).
Springer DOI
2103
BibRef
Zhang, T.,
Zheng, W.M.[Wen-Ming],
Cui, Z.[Zhen],
Zong, Y.[Yuan],
Li, Y.[Yang],
Spatial-Temporal Recurrent Neural Network for Emotion Recognition,
Cyber(49), No. 3, March 2019, pp. 839-847.
IEEE DOI
1902
Emotion recognition, Brain modeling, Electroencephalography,
Recurrent neural networks, Electrodes, Face recognition,
spatial-temporal recurrent neural network (STRNN)
BibRef
Li, Y.[Yang],
Zheng, W.M.[Wen-Ming],
Wang, L.[Lei],
Zong, Y.[Yuan],
Cui, Z.[Zhen],
From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal
Neural Network Model for EEG Emotion Recognition,
AffCom(13), No. 2, April 2022, pp. 568-578.
IEEE DOI
2206
Electroencephalography, Feature extraction, Emotion recognition,
Brain modeling, Electrodes, Biological neural networks,
spatial-temporal network
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
Ben, X.Y.[Xian-Ye],
Jia, X.T.[Xi-Tong],
Yan, R.[Rui],
Zhang, X.[Xin],
Meng, W.X.[Wei-Xiao],
Learning effective binary descriptors for micro-expression
recognition transferred by macro-information,
PRL(107), 2018, pp. 50-58.
Elsevier DOI
1805
Micro-expression recognition, Binary feature descriptor,
Coupled metric learning, Smooth support vector machine
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
Grewe, C.M.,
Le Roux, G.,
Pilz, S.K.,
Zachow, S.,
Spotting the Details: The Various Facets of Facial Expressions,
FG18(286-293)
IEEE DOI
1806
Computational modeling, Databases, Face, Face recognition, Shape, Skin,
3D Facial Expression Recongition,
Statistical Expression Analysis
BibRef
Lu, H.[Hua],
Kpalma, K.[Kidiyo],
Ronsin, J.[Joseph],
Motion descriptors for micro-expression recognition,
SP:IC(67), 2018, pp. 108-117.
Elsevier DOI
1808
Micro-expression recognition, Optical flow, HOF, MBH, FMBH
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
Perveen, N.[Nazil],
Roy, D.[Debaditya],
Mohan, C.K.[Chalavadi Krishna],
Facial Expression Recognition in Videos Using Dynamic Kernels,
IP(29), 2020, pp. 8316-8325.
IEEE DOI
2008
Kernel, Hidden Markov models, Face recognition, Face,
Feature extraction, Videos, Gaussian mixture model,
intermediate matching kernel
BibRef
Zong, Y.[Yuan],
Huang, X.H.[Xiao-Hua],
Zheng, W.M.[Wen-Ming],
Cui, Z.[Zhen],
Zhao, G.Y.[Guo-Ying],
Learning From Hierarchical Spatiotemporal Descriptors for
Micro-Expression Recognition,
MultMed(20), No. 11, November 2018, pp. 3160-3172.
IEEE DOI
1810
Spatiotemporal phenomena, Feature extraction, Face recognition,
Task analysis, Databases, Training, Gold,
kernelized group sparse learning
BibRef
Lao, L.J.[Ling-Jie],
Li, Y.[Yong],
Liu, M.L.[Meng Lin],
Xu, C.Y.[Chun-Yan],
Cui, Z.[Zhen],
Temporal Discriminative Micro-Expression Recognition via Graph
Contrastive Learning,
ICPR22(1033-1040)
IEEE DOI
2212
Convolution, Video sequences, Training data, Medical treatment,
Transformers, Pattern recognition, Task analysis
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
Jain, D.K.[Deepak Kumar],
Zhang, Z.[Zhang],
Huang, K.Q.[Kai-Qi],
Random walk-based feature learning for micro-expression recognition,
PRL(115), 2018, pp. 92-100.
Elsevier DOI
1812
Active shape model, Micro-expression, Random walk
BibRef
Schuller, B.,
Microexpressions: A Chance for Computers to Beat Humans at Detecting
Hidden Emotions?,
Computer(52), No. 2, February 2019, pp. 4-5.
IEEE DOI
1903
Review of Affectivin Computing articles on microexpressions, Emotion recognition
Artificial intelligence
BibRef
McDuff, D.J.[Daniel J.],
Amr, M.,
el Kaliouby, R.[Rana],
AM-FED+: An Extended Dataset of Naturalistic Facial Expressions
Collected in Everyday Settings,
AffCom(10), No. 1, January 2019, pp. 7-17.
IEEE DOI
1903
Dataset, Facial Expressions. Videos, Encoding, Face recognition, Training, Lighting, Task analysis,
Databases, Facial expressions, facial action coding system,
corpora
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
Gan, Y.S.,
Liong, S.T.[Sze-Teng],
Yau, W.C.[Wei-Chuen],
Huang, Y.C.[Yen-Chang],
Tan, L.K.[Lit-Ken],
OFF-ApexNet on micro-expression recognition system,
SP:IC(74), 2019, pp. 129-139.
Elsevier DOI
1904
Apex, CNN, Optical flow, Micro-expression, Recognition
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
Zhi, R.C.[Rui-Cong],
Xu, H.R.[Hai-Rui],
Wan, M.[Ming],
Li, T.T.[Ting-Ting],
Combining 3D Convolutional Neural Networks with Transfer Learning by
Supervised Pre-Training for Facial Micro-Expression Recognition,
IEICE(E102-D), No. 5, May 2019, pp. 1054-1064.
WWW Link.
1906
BibRef
Zhi, R.C.[Rui-Cong],
Hu, J.[Jing],
Wan, F.[Fei],
Micro-expression recognition with supervised contrastive learning,
PRL(163), 2022, pp. 25-31.
Elsevier DOI
2212
Micro-expression recognition, Supervised contrastive learning,
Motion magnification, Optical flow
BibRef
Tang, M.H.[Ming-Hao],
Zong, Y.[Yuan],
Zheng, W.M.[Wen-Ming],
Dai, J.S.[Ji-Sheng],
Shi, J.G.[Jin-Gang],
Song, P.[Peng],
Micro-Expression Recognition by Leveraging Color Space Information,
IEICE(E102-D), No. 6, June 2019, pp. 1222-1226.
WWW Link.
1906
BibRef
Li, L.Y.[Ling-Yan],
Zhou, X.Y.[Xiao-Yan],
Zong, Y.[Yuan],
Zheng, W.M.[Wen-Ming],
Chen, X.Z.[Xiu-Zhen],
Shi, J.G.[Jin-Gang],
Song, P.[Peng],
Unsupervised Cross-Database Micro-Expression Recognition Using
Target-Adapted Least-Squares Regression,
IEICE(E102-D), No. 7, July 2019, pp. 1417-1421.
WWW Link.
1907
BibRef
Ramasinghe, S.[Sameera],
Rajasegaran, J.[Jathushan],
Jayasundara, V.[Vinoj],
Ranasinghe, K.[Kanchana],
Rodrigo, R.[Ranga],
Pasqual, A.A.[Ajith A.],
Combined Static and Motion Features for Deep-Networks-Based Activity
Recognition in Videos,
CirSysVideo(29), No. 9, September 2019, pp. 2693-2707.
IEEE DOI
1909
BibRef
Earlier:
Micro Actions and Deep Static Features for Activity Recognition,
DICTA17(1-8)
IEEE DOI
1804
Videos, Electron tubes, Feature extraction, Activity recognition,
Dynamics, Tracking, Fuses, Activity recognition, fusing features,
long short-term memory (LSTM).
entropy, image motion analysis,
image recognition, probability, recurrent neural nets,
Trajectory
BibRef
Wang, L.[Lei],
Xiao, H.[Hai],
Luo, S.[Sheng],
Zhang, J.[Jie],
Liu, X.[Xiyao],
A weighted feature extraction method based on temporal accumulation
of optical flow for micro-expression recognition,
SP:IC(78), 2019, pp. 246-253.
Elsevier DOI
1909
Micro-expression recognition, Temporal accumulation,
Weighted LBP-TOP feature, Optical flow
BibRef
Happy, S.L.,
Routray, A.,
Fuzzy Histogram of Optical Flow Orientations for Micro-Expression
Recognition,
AffCom(10), No. 3, July 2019, pp. 394-406.
IEEE DOI
1909
Histograms, Feature extraction, Face recognition, Databases,
Integrated optics, Machine learning, Tensile stress,
spatio-temporal features
BibRef
Verma, M.,
Vipparthi, S.K.,
Singh, G.,
Murala, S.,
LEARNet: Dynamic Imaging Network for Micro Expression Recognition,
IP(29), No. , 2020, pp. 1618-1627.
IEEE DOI
1911
Feature extraction, Imaging, Image color analysis, Image sequences,
Convolution, Face recognition, Video sequences, Dynamic imaging,
micro expression recognition
BibRef
Goh, K.M.[Kam Meng],
Ng, C.H.[Chee How],
Lim, L.L.[Li Li],
Sheikh, U.U.,
Micro-expression recognition: an updated review of current trends,
challenges and solutions,
VC(36), No. 3, March 2020, pp. 445-468.
WWW Link.
2002
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
Mi, Y.,
Zhang, X.,
Li, Z.,
Wang, S.,
Dual-Branch Network With a Subtle Motion Detector for Microaction
Recognition in Videos,
IP(29), 2020, pp. 6194-6208.
IEEE DOI
2005
Action recognition, microactions, dual-branch network,
subtle motion detector, attention
BibRef
Duque, C.A.[Carlos Arango],
Alata, O.[Olivier],
Emonet, R.[Rémi],
Konik, H.[Hubert],
Legrand, A.C.[Anne-Claire],
Mean oriented Riesz features for micro expression classification,
PRL(135), 2020, pp. 382-389.
Elsevier DOI
2006
Micro-expressions, Mean oriented Riez features, Recognition,
Classification, Subtle motion analysis, Riesz pyramid,
CASME2 database
BibRef
Fu, Y.J.[Yong-Jian],
Wu, X.T.[Xin-Tian],
Li, X.[Xi],
Pan, Z.J.[Zhi-Jie],
Luo, D.X.[Da-Xin],
Semantic Neighborhood-Aware Deep Facial Expression Recognition,
IP(29), 2020, pp. 6535-6548.
IEEE DOI
2007
Semantics, Predictive models, Feature extraction, Training,
Perturbation methods, Face recognition, Task analysis,
autoencoder
BibRef
Xia, Z.,
Peng, W.,
Khor, H.,
Feng, X.,
Zhao, G.,
Revealing the Invisible With Model and Data Shrinking for
Composite-Database Micro-Expression Recognition,
IP(29), 2020, pp. 8590-8605.
IEEE DOI
2009
Task analysis, Data models, Complexity theory, Feature extraction,
Analytical models, Histograms, Optical imaging,
searchable architecture
BibRef
Sun, Z.[Zhe],
Hu, Z.P.[Zheng-Ping],
Zhao, M.Y.[Meng-Yao],
Li, S.F.[Shu-Fang],
Multi-scale active patches fusion based on spatiotemporal LBP-TOP for
micro-expression recognition,
JVCIR(71), 2020, pp. 102862.
Elsevier DOI
2009
Micro-expression, Multi-scale active patches,
Weighted sparse representation, LBP-TOP
BibRef
Li, Y.,
Huang, X.,
Zhao, G.,
Joint Local and Global Information Learning With Single Apex Frame
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IP(30), 2021, pp. 249-263.
IEEE DOI
2011
Face recognition, Optical imaging, Frequency-domain analysis,
Feature extraction, Deep learning, Databases,
deep learning
BibRef
Zhou, L.[Ling],
Shao, X.[Xiuyan],
Mao, Q.[Qirong],
A survey of micro-expression recognition,
IVC(105), 2021, pp. 104043.
Elsevier DOI
2101
Micro-expression recognition, Deep learning,
Micro-expression datasets, Survey
BibRef
Saeed, U.[Usman],
Facial micro-expressions as a soft biometric for person recognition,
PRL(143), 2021, pp. 95-103.
Elsevier DOI
2102
Person recognition, Multi-modal biometrics, Soft biometrics, Micro-expressions
BibRef
Liu, K.H.[Kun-Hong],
Jin, Q.S.[Qiu-Shi],
Xu, H.C.[Huang-Chao],
Gan, Y.S.[Yee-Siang],
Liong, S.T.[Sze-Teng],
Micro-expression recognition using advanced genetic algorithm,
SP:IC(93), 2021, pp. 116153.
Elsevier DOI
2103
Genetic algorithm, Apex, CNN, Optical flow, Micro-expression, Recognition
BibRef
Karmakar, D.[Dhiman],
Sarkar, R.[Rajib],
Datta, M.[Madhura],
Spoofed replay attack detection by Multidimensional Fourier transform
on facial micro-expression regions,
SP:IC(93), 2021, pp. 116164.
Elsevier DOI
2103
Facial spoofing, Micro-expressions,
Multidimensional Fourier domain, Replay attack
BibRef
Liu, Y.J.,
Li, B.J.,
Lai, Y.K.,
Sparse MDMO: Learning a Discriminative Feature for Micro-Expression
Recognition,
AffCom(12), No. 1, January 2021, pp. 254-261.
IEEE DOI
2103
Optical imaging, Atom optics, Encoding, Manifolds, Sparse matrices,
Measurement, Dictionaries, Micro-expression, MDMO feature,
recognition
BibRef
Verma, M.,
Vipparthi, S.K.,
Singh, G.,
AffectiveNet: Affective-Motion Feature Learning for Microexpression
Recognition,
MultMedMag(28), No. 1, January 2021, pp. 17-27.
IEEE DOI
2104
Feature extraction, Task analysis, Computational modeling,
Optical imaging, Optical network units, Image recognition,
micro expression recognition
BibRef
Wang, S.J.,
He, Y.,
Li, J.,
Fu, X.,
MESNet: A Convolutional Neural Network for Spotting Multi-Scale
Micro-Expression Intervals in Long Videos,
IP(30), 2021, pp. 3956-3969.
IEEE DOI
2104
Measurement, Convolution, Feature extraction,
Spatiotemporal phenomena, Convolutional neural networks, Videos,
micro-expression spotting
BibRef
He, Y.,
Wang, S.J.,
Li, J.,
Yap, M.H.,
Spotting Macro-and Micro-expression Intervals in Long Video Sequences,
FG20(742-748)
IEEE DOI
2102
Measurement, Video sequences, Faces, Psychology, Time measurement,
Mathematics, Law enforcement
BibRef
Yap, C.H.,
Kendrick, C.,
Yap, M.H.,
SAMM Long Videos: A Spontaneous Facial Micro- and Macro-Expressions
Dataset,
FG20(771-776)
IEEE DOI
2102
Videos, Gold, Face recognition, Lips, Measurement, Task analysis,
Support vector machines, micro expressions, macro expressions,
facial action coding system
BibRef
Guo, Y.F.[Yi-Fei],
Li, B.[Bing],
Ben, X.Y.[Xian-Ye],
Ren, Y.[Yi],
Zhang, J.P.[Jun-Ping],
Yan, R.[Rui],
Li, Y.J.[Yu-Jun],
A Magnitude and Angle Combined Optical Flow Feature for
Microexpression Spotting,
MultMedMag(28), No. 2, April 2021, pp. 29-39.
IEEE DOI
2107
Brightness, High-speed optical techniques, Task analysis,
Optical flow, Estimation, Smoothing methods, Psychology, Emotion recognition
BibRef
Pan, H.[Hang],
Xie, L.[Lun],
Li, J.[Juan],
Lv, Z.P.[Ze-Ping],
Wang, Z.L.[Zhi-Liang],
Micro-expression recognition by two-stream difference network,
IET-CV(15), No. 6, 2021, pp. 440-448.
DOI Link
2108
BibRef
Guermazi, R.[Radhouane],
Ben Abdallah, T.[Taoufik],
Hammami, M.[Mohamed],
Facial micro-expression recognition based on accordion
spatio-temporal representation and random forests,
JVCIR(79), 2021, pp. 103183.
Elsevier DOI
2109
BibRef
Earlier: A2, A1, A3:
Using Normal/abnormal Video Sequence Categorization to Efficient Facial
Expression Recognition in the Wild,
ACIVS20(504-516).
Springer DOI
2003
Facial micro-expressions, Pyramid levels' combination,
Accordion representation, Low-dimensional feature space, Proximity measure.
BibRef
Aouayeb, M.[Mouath],
Hamidouche, W.[Wassim],
Soladie, C.[Catherine],
Kpalma, K.[Kidiyo],
Seguier, R.[Renaud],
Micro-expression recognition from local facial regions,
SP:IC(99), 2021, pp. 116457.
Elsevier DOI
2111
Micro-expression, Regions of Interest,
Convolutional Neural Network, Long Short Term Memory
BibRef
Li, J.,
Soladie, C.[Catherine],
Seguier, R.[Renaud],
LTP-ML: Micro-Expression Detection by Recognition of Local Temporal
Pattern of Facial Movements,
FG18(634-641)
IEEE DOI
1806
Eyebrows, Face, Feature extraction, Gold, Machine learning,
Measurement, Principal component analysis, Detection,
Micro-expression
BibRef
Zhou, L.[Ling],
Mao, Q.[Qirong],
Huang, X.H.[Xiao-Hua],
Zhang, F.F.[Fei-Fei],
Zhang, Z.H.[Zhi-Hong],
Feature refinement: An expression-specific feature learning and
fusion method for micro-expression recognition,
PR(122), 2022, pp. 108275.
Elsevier DOI
2112
Micro-expression recognition, Deep learning,
Attention mechanism, Shared feature, Feature refinement
BibRef
Zhu, J.[Jie],
Zong, Y.[Yuan],
Chang, H.L.[Hong-Li],
Zhao, L.[Li],
Tang, C.G.[Chuan-Gao],
Joint Patch Weighting and Moment Matching for Unsupervised Domain
Adaptation in Micro-Expression Recognition,
IEICE(E105-D), No. 2, February 2022, pp. 441-445.
WWW Link.
2202
BibRef
Zhou, Y.[Ying],
Song, Y.X.[Yan-Xin],
Chen, L.[Lei],
Chen, Y.[Yang],
Ben, X.Y.[Xian-Ye],
Cao, Y.[Yewen],
A novel micro-expression detection algorithm based on BERT and 3DCNN,
IVC(119), 2022, pp. 104378.
Elsevier DOI
2202
Micro-expression detection, 3DCNN, BERT
BibRef
Cen, S.X.[Shi-Xin],
Yu, Y.[Yang],
Yan, G.[Gang],
Yu, M.[Ming],
Guo, Y.Q.[Yu-Qiang],
Multi-task Facial Activity Patterns Learning for micro-expression
recognition using Joint Temporal Local Cube Binary Pattern,
SP:IC(103), 2022, pp. 116616.
Elsevier DOI
2203
Micro-expression recognition,
Joint temporal local cube binary pattern, Facial action unit,
Feature selection
BibRef
Allaert, B.[Benjamin],
Bilasco, I.M.[Ioan Marius],
Djeraba, C.[Chaabane],
Micro and Macro Facial Expression Recognition Using Advanced Local
Motion Patterns,
AffCom(13), No. 1, January 2022, pp. 147-158.
IEEE DOI
2203
Face, Face recognition, Feature extraction, Strain,
Motion segmentation, Skin, Macro expression, micro expression,
local motion patterns
BibRef
Mi, Y.[Yang],
Liu, Z.H.[Zhi-Hao],
Zhao, K.[Kai],
Wang, S.[Song],
Recognizing micro actions in videos by learning multi-layer local
features,
PRL(158), 2022, pp. 55-62.
Elsevier DOI
2205
Action recognition, Micro action, Lower-level layers, Local features
BibRef
Sun, B.[Bo],
Cao, S.[Siming],
Li, D.L.[Dong-Liang],
He, J.[Jun],
Yu, L.[Lejun],
Dynamic Micro-Expression Recognition Using Knowledge Distillation,
AffCom(13), No. 2, April 2022, pp. 1037-1043.
IEEE DOI
2206
Feature extraction, Gold, Neural networks, Face, Machine learning,
Encoding, Knowledge engineering, Micro-expression recognition,
deep learning
BibRef
Ben, X.[Xianye],
Ren, Y.[Yi],
Zhang, J.P.[Jun-Ping],
Wang, S.J.[Su-Jing],
Kpalma, K.[Kidiyo],
Meng, W.X.[Wei-Xiao],
Liu, Y.J.[Yong-Jin],
Video-Based Facial Micro-Expression Analysis: A Survey of Datasets,
Features and Algorithms,
PAMI(44), No. 9, September 2022, pp. 5826-5846.
IEEE DOI
2208
Face recognition, Muscles, Neural pathways, Facial muscles,
Emotion recognition, Image sequences, Transient analysis,
datasets
BibRef
Zhang, J.J.[Jun-Jie],
Sun, G.M.[Guang-Min],
Zheng, K.[Kun],
Mazhar, S.[Sarah],
Fu, X.H.[Xiao-Hui],
Li, Y.[Yu],
Yu, H.[Hui],
SSGNN: A Macro and Microfacial Expression Recognition Graph Neural
Network Combining Spatial and Spectral Domain Features,
HMS(52), No. 4, August 2022, pp. 747-760.
IEEE DOI
2208
Feature extraction, Spectral analysis,
Convolutional neural networks, Training data, Face recognition,
spectral domain
BibRef
Pan, H.[Hang],
Xie, L.[Lun],
Wang, Z.L.[Zhi-Liang],
Spatio-temporal convolutional emotional attention network for
spotting macro- and micro-expression intervals in long video
sequences,
PRL(162), 2022, pp. 89-96.
Elsevier DOI
2210
BibRef
Earlier:
Local Bilinear Convolutional Neural Network for Spotting Macro- and
Micro-expression Intervals in Long Video Sequences,
FG20(749-753)
IEEE DOI
2102
Macro-expression, Micro-expression, Attention model,
Convolution, Spatio-temporal feature.
Face recognition, Video sequences, Databases,
Convolutional neural networks, Feature extraction,
Spotting Micro expression
BibRef
Fan, X.[Xinqi],
Shahid, A.R.[Ali Raza],
Yan, H.[Hong],
Edge-aware motion based facial micro-expression generation with
attention mechanism,
PRL(162), 2022, pp. 97-104.
Elsevier DOI
2210
Facial micro-expression generation,
Edge-aware motion based generation, Multi-head self-attention
BibRef
Zhu, J.[Jie],
Zong, Y.[Yuan],
Chang, H.L.[Hong-Li],
Xiao, Y.[Yushun],
Zhao, L.[Li],
A Sparse-Based Transformer Network With Associated Spatiotemporal
Feature for Micro-Expression Recognition,
SPLetters(29), 2022, pp. 2073-2077.
IEEE DOI
2211
Transformers, Feature extraction, Spatiotemporal phenomena,
Encoding, Convolution, Video sequences,
micro-expression recognition
BibRef
Zhang, L.[Liangfei],
Hong, X.P.[Xiao-Peng],
Arandjelovic, O.[Ognjen],
Zhao, G.Y.[Guo-Ying],
Short and Long Range Relation Based Spatio-Temporal Transformer for
Micro-Expression Recognition,
AffCom(13), No. 4, October 2022, pp. 1973-1985.
IEEE DOI
2212
Feature extraction, Transformers, Deep learning, Task analysis,
Optical flow, Histograms, Face recognition, Emotion recognition,
self-attention mechanism
BibRef
Mao, Q.[Qirong],
Zhou, L.[Ling],
Zheng, W.M.[Wen-Ming],
Shao, X.[Xiuyan],
Huang, X.H.[Xiao-Hua],
Objective Class-Based Micro-Expression Recognition Under Partial
Occlusion Via Region-Inspired Relation Reasoning Network,
AffCom(13), No. 4, October 2022, pp. 1998-2016.
IEEE DOI
2212
Face recognition, Databases, Cognition, Feature extraction,
Task analysis, Optical fiber networks, Optical sensors,
self-attention
BibRef
Li, Y.[Yante],
Wei, J.S.[Jin-Sheng],
Liu, Y.[Yang],
Kauttonen, J.[Janne],
Zhao, G.Y.[Guo-Ying],
Deep Learning for Micro-Expression Recognition: A Survey,
AffCom(13), No. 4, October 2022, pp. 2028-2046.
IEEE DOI
2212
Videos, Databases, Iron, Annotations, Deep learning, Cameras, Lips,
Micro-expression recognition, deep learning, Survey
BibRef
He, Y.H.[Yu-Hong],
Xu, Z.L.[Zhong-Liang],
Ma, L.[Lin],
Li, H.F.[Hai-Feng],
Micro-expression spotting based on optical flow features,
PRL(163), 2022, pp. 57-64.
Elsevier DOI
2212
Micro-expression spotting method, Farneback optical flow method, Overlap index
BibRef
Wang, M.Z.[Ming-Zhong],
Wang, Q.[Qi],
Wang, Q.S.[Qing-Shan],
Zheng, Z.W.[Zhi-Wen],
A fixed-point rotation-based feature selection method for
micro-expression recognition,
PRL(164), 2022, pp. 261-267.
Elsevier DOI
2212
Micro-expression recognition, Quaternion,
Differential energy image, Fixed-point rotation, Feature selection
BibRef
Zou, B.[Bochao],
Wang, Y.X.[Ying-Xue],
Zhang, X.L.[Xiao-Long],
Lyu, X.[Xiangwen],
Ma, H.M.[Hui-Min],
Concordance between facial micro-expressions and physiological
signals under emotion elicitation,
PRL(164), 2022, pp. 200-209.
Elsevier DOI
2212
Affective computing, Micro-expressions, Physiological signals, Concordance
BibRef
Liong, G.B.[Gen-Bing],
See, J.[John],
Chan, C.S.[Chee-Seng],
Spot-then-Recognize: A Micro-Expression Analysis Network for Seamless
Evaluation of Long Videos,
SP:IC(110), 2023, pp. 116875.
Elsevier DOI
2212
Facial Micro-Expression, Spotting, Recognition,
Optical flow features, Shallow neural networks
BibRef
Dong, Z.Z.[Zi-Zhao],
Wang, G.[Gang],
Lu, S.Y.[Shao-Yuan],
Dai, L.[Luyao],
Huang, S.C.[Shu-Cheng],
Liu, Y.[Ye],
Intentional-Deception Detection Based on Facial Muscle Movements in
an Interactive Social Context,
PRL(164), 2022, pp. 30-39.
Elsevier DOI
2212
Intentional-deception detection, Micro-expression,
Facial electrophysiological, Feature selection
BibRef
Sun, X.[Xiao],
Lang, J.J.[Jun-Jie],
Zheng, S.X.[Shi-Xing],
Huang, Y.[Yating],
Wang, M.[Meng],
Dual Expression Fusion:
A Universal Microexpression Recognition Framework,
MultMedMag(29), No. 4, October 2022, pp. 48-58.
IEEE DOI
2301
Feature extraction, Face recognition, Facial features,
Emotion recognition, Encoding, Deep learning, Video sequences
BibRef
Yang, B.[Bo],
Wu, J.M.[Jian-Ming],
Ikeda, K.[Kazushi],
Hattori, G.[Gen],
Sugano, M.[Masaru],
Iwasawa, Y.[Yusuke],
Matsuo, Y.[Yutaka],
Deep Learning Pipeline for Spotting Macro- and Micro-expressions in
Long Video Sequences Based on Action Units and Optical Flow,
PRL(165), 2023, pp. 63-74.
Elsevier DOI
2301
deep learning, macro-expression, micro-expression, action units, optical flow
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, J.T.[Jing-Ting],
Soladié, C.[Catherine],
Séguier, R.[Renaud],
Local Temporal Pattern and Data Augmentation for Spotting
Micro-Expressions,
AffCom(14), No. 1, January 2023, pp. 811-822.
IEEE DOI
2303
Feature extraction, Databases, Training, Machine learning,
Machine learning algorithms, Magnetic heads, Data mining,
Hammerstein model
BibRef
Wang, T.H.[Tian-Hao],
Shang, L.[Lin],
Temporal augmented contrastive learning for micro-expression
recognition,
PRL(167), 2023, pp. 122-131.
Elsevier DOI
2303
Micro expression recognition, Momentum contrastive learning,
Temporal augmentation, Generative adversarial learning, Inception network
BibRef
Li, S.[Sunan],
Zong, Y.[Yuan],
Lu, C.[Cheng],
Tang, C.G.[Chuan-Gan],
Zhao, Y.[Yan],
Group Sparse Reduced Rank Tensor Regression for Micro-Expression
Recognition,
IEICE(E106-D), No. 4, April 2023, pp. 575-578.
WWW Link.
2304
BibRef
Guo, X.P.[Xu-Peng],
Zhang, X.B.[Xiao-Biao],
Li, L.[Lei],
Xia, Z.Q.[Zhao-Qiang],
Micro-expression spotting with multi-scale local transformer in long
videos,
PRL(168), 2023, pp. 146-152.
Elsevier DOI
2304
Micro-expression spotting, Convolutional network, Local transformer
BibRef
Chen, B.[Bin],
Liu, K.H.[Kun-Hong],
Xu, Y.[Yong],
Wu, Q.Q.[Qing-Qiang],
Yao, J.F.[Jun-Feng],
Block Division Convolutional Network With Implicit Deep Features
Augmentation for Micro-Expression Recognition,
MultMed(25), 2023, pp. 1345-1358.
IEEE DOI
2305
Feature extraction, Task analysis, Data mining, Strain,
Spatiotemporal phenomena, Optical flow,
micro-expression recognition
BibRef
Sun, M.X.[Meng-Xin],
Chen, L.Y.[Li-Yan],
Liu, K.H.[Kun-Hong],
Liong, S.T.[Sze-Teng],
Wu, Q.Q.[Qing-Qiang],
Feature Elimination through Data Complexity for Error-Correcting
Output Codes based micro-expression recognition,
SP:IC(115), 2023, pp. 116962.
Elsevier DOI
2306
Error-Correcting Output Codes (ECOC),
Micro-Expression recognition, Data complexity, Feature elimination
BibRef
Chen, G.[Gan],
Peng, J.J.[Jun-Jie],
Zhang, W.Q.[Wen-Qiang],
Huang, K.[Kanrun],
Cheng, F.[Feng],
Yuan, H.C.[Hao-Chen],
Huang, Y.S.[Yan-Song],
A Region Group Adaptive Attention Model For Subtle Expression
Recognition,
AffCom(14), No. 2, April 2023, pp. 1613-1626.
IEEE DOI
2306
Face recognition, Feature extraction, Muscles, Adaptation models,
Psychology, Estimation, Convolutional neural networks,
subtle expression recognition
BibRef
Gupta, P.[Puneet],
MERASTC: Micro-Expression Recognition Using Effective Feature
Encodings and 2D Convolutional Neural Network,
AffCom(14), No. 2, April 2023, pp. 1431-1441.
IEEE DOI
2306
Face recognition, Feature extraction, Encoding, Deep learning,
Optical network units, Training data, Strain,
spatiotemporal CNN
BibRef
Li, Y.[Yante],
Peng, W.[Wei],
Zhao, G.Y.[Guo-Ying],
Micro-expression Action Unit Detection with Dual-view Attentive
Similarity-Preserving Knowledge Distillation,
FG21(01-08)
IEEE DOI
2303
Knowledge engineering, Face recognition,
Transfer learning, Gesture recognition, Encoding
BibRef
Verma, M.[Monu],
Lubal, P.[Priyanka],
Vipparthi, S.K.[Santosh Kumar],
Abdel-Mottaleb, M.[Mohamed],
RNAS-MER: A Refined Neural Architecture Search with Hybrid
Spatiotemporal Operations for Micro-Expression Recognition,
WACV23(4759-4768)
IEEE DOI
2302
Training, Convolution, Microprocessors, Stacking, Benchmark testing,
Algorithms: Image recognition and understanding.
BibRef
Yang, P.C.[Peng-Cheng],
Jin, H.M.[Hong-Mei],
Li, Z.L.[Zhan-Li],
Combining Attention Mechanism and Dual-Stream 3D Convolutional Neural
Network for Micro-expression Recognition,
ICIVC22(51-59)
IEEE DOI
2301
Training, Solid modeling, Face recognition, Computational modeling,
Feature extraction, Data models, micro-expression recognition, 3D BN layer
BibRef
Tang, Y.[Yutao],
Béjar, B.[Benjamín],
Essoe, J.K.Y.[Joey K.Y.],
McGuire, J.F.[Joseph F.],
Vidal, R.[René],
Facial Tic Detection in Untrimmed Videos of Tourette Syndrome
Patients,
ICPR22(3152-3159)
IEEE DOI
2212
Performance evaluation, Gold, Pediatrics, Medical treatment,
Feature extraction, Behavioral sciences
BibRef
Wei, M.T.[Meng-Ting],
Zheng, W.M.[Wen-Ming],
Jiang, X.X.[Xing-Xun],
Zong, Y.[Yuan],
Lu, C.[Cheng],
Liu, J.[Jiateng],
A Novel Magnification-Robust Network with Sparse Self-Attention for
Micro-Expression Recognition,
ICPR22(1120-1126)
IEEE DOI
2212
Databases, Computational modeling, Feature extraction,
Sparse matrices, Computational complexity, Standards
BibRef
Liu, Y.[Yuchi],
Wang, Z.[Zhongdao],
Gedeon, T.[Tom],
Zheng, L.[Liang],
How to Synthesize a Large-Scale and Trainable Micro-Expression Dataset?,
ECCV22(VIII:38-55).
Springer DOI
2211
BibRef
Leong, S.M.[Shu-Min],
Noman, F.[Fuad],
Phan, R.C.W.[Raphaël C.W.],
Baskaran, V.M.[Vishnu Monn],
Ting, C.M.[Chee-Ming],
GraphEx: Facial Action Unit Graph for Micro-Expression Classification,
ICIP22(3296-3300)
IEEE DOI
2211
Representation learning, Performance evaluation, Gold,
Image recognition, Face recognition, Muscles, Facial action units,
relation graph
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Three Stream Graph Attention Network using Dynamic Patch Selection
for the classification of micro-expressions,
ABAW22(2475-2484)
IEEE DOI
2210
Emotion recognition, Face recognition,
Feature extraction, Skin, Facial muscles
BibRef
Bai, M.J.[Meng-Jiong],
Goecke, R.[Roland],
Herath, D.[Damith],
Micro-Expression Recognition Based on Video Motion Magnification and
Pre-Trained Neural Network,
ICIP21(549-553)
IEEE DOI
2201
Image recognition, Databases, Neural networks, Government, Manuals,
Feature extraction, Micro-expression recognition, Spatio-temporal network
BibRef
Esmaeili, V.[Vida],
Feghhi, M.M.[Mahmood Mohassel],
Shahdi, S.O.[Seyed Omid],
Micro-Expression Recognition Using Histogram of Image Gradient
Orientation on Diagonal Planes,
IPRIA21(1-5)
IEEE DOI
2201
Support vector machines, Histograms, Image recognition,
Image analysis, Lighting, Feature extraction,
support vector machine
BibRef
van Heugten Breurkes, J.[Jack],
Green, R.[Richard],
Autonomous Detection of Facial Tics in Video Recordings,
IVCNZ21(1-6)
IEEE DOI
2201
Support vector machines, Emotion recognition, Tracking,
Streaming media, Biomedical monitoring, Facial features,
facial movement detection
BibRef
Liong, G.B.[Gen-Bing],
See, J.[John],
Wong, L.K.[Lai-Kuan],
Shallow Optical Flow Three-Stream CNN for Macro- and Micro-Expression
Spotting from Long Videos,
ICIP21(2643-2647)
IEEE DOI
2201
Measurement, Image processing, Object detection, Benchmark testing,
Predictive models, Task analysis, Micro-expression,
shallow CNN
BibRef
Oh, G.[Geesung],
Jeong, E.[Euiseok],
Lim, S.[Sejoon],
Causal affect prediction model using a past facial image sequence,
ABAW21(3543-3549)
IEEE DOI
2112
Deep learning, Computational modeling, Face recognition,
Supervised learning, Predictive models, Real-time systems, Filling
BibRef
Liu, X.[Xin],
Shi, H.L.[Heng-Lin],
Chen, H.Y.[Hao-Yu],
Yu, Z.T.[Zi-Tong],
Li, X.B.[Xiao-Bai],
Zhao, G.Y.[Guo-Ying],
iMiGUE: An Identity-free Video Dataset for Micro-Gesture
Understanding and Emotion Analysis,
CVPR21(10626-10637)
IEEE DOI
2111
Emotion recognition, Analytical models,
Face recognition, Computational modeling, Prototypes
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Micro-Expression Classification based on Landmark Relations with
Graph Attention Convolutional Network,
AMFG21(1511-1520)
IEEE DOI
2109
Feature extraction, Facial muscles,
Pattern recognition, Optical flow
BibRef
Lei, L.[Ling],
Chen, T.[Tong],
Li, S.G.[Shi-Gang],
Li, J.F.[Jian-Feng],
Micro-expression Recognition Based on Facial Graph Representation
Learning and Facial Action Unit Fusion,
AUVi21(1571-1580)
IEEE DOI
2109
Protocols, Convolution, Face recognition,
Pipelines, Feature extraction
BibRef
Kumar, A.J.R.[Ankith Jain Rakesh],
Bhanu, B.[Bir],
Casey, C.[Christopher],
Cheung, S.G.[Sierra Grace],
Seitz, A.[Aaron],
Depth Videos for the Classification of Micro-Expressions,
ICPR21(5278-5285)
IEEE DOI
2105
Deep learning, Privacy, Face recognition, Lighting,
Medical treatment, Games, Muscles
BibRef
He, L.,
Shen, X.,
Chen, Z.,
Li, K.,
Liu, Z.,
Zhuo, R.,
The Ability to Recognize Microexpression and Detect Deception in the
Elderly,
FG20(761-764)
IEEE DOI
2102
Senior citizens, Emotion recognition, Correlation, Task analysis,
Face recognition, Character recognition, Standards
BibRef
Zhang, L.W.,
Li, J.,
Wang, S.J.,
Duan, X.H.,
Yan, W.J.,
Xie, H.Y.,
Huang, S.C.,
Spatio-temporal fusion for Macro- and Micro-expression Spotting in
Long Video Sequences,
FG20(734-741)
IEEE DOI
2102
Optical imaging, Feature extraction, Nose, Optical filters, Faces,
Databases, Face recognition
BibRef
Merghani, W.,
Yap, M.H.,
Adaptive Mask for Region-based Facial Micro-Expression Recognition,
FG20(765-770)
IEEE DOI
2102
Face recognition, Feature extraction, Smoothing methods,
Optical imaging, Deep learning, Optimization, Optical noise,
FME
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
Bruni, V.[Vittoria],
Vitulano, D.[Domenico],
SSIM Based Signature of Facial Micro-expressions,
ICIAR20(I:267-279).
Springer DOI
2007
BibRef
Shahar, H.,
Hel-Or, H.,
Micro Expression Classification using Facial Color and Deep Learning
Methods,
CVPM19(1673-1680)
IEEE DOI
2004
emotion recognition, face recognition, feature extraction,
image colour analysis, learning (artificial intelligence),
facial color
BibRef
Wang, Y.H.[Ya-Hui],
Ma, H.M.[Hui-Min],
Xing, X.P.[Xin-Peng],
Pan, Z.[Zeyu],
Eulerian Motion Based 3dcnn Architecture for Facial Micro-expression
Recognition,
MMMod20(I:266-277).
Springer DOI
2003
BibRef
Khor, H.,
See, J.,
Liong, S.,
Phan, R.C.W.,
Lin, W.,
Dual-stream Shallow Networks for Facial Micro-expression Recognition,
ICIP19(36-40)
IEEE DOI
1910
Micro-expression, recognition, apex frame, dual-stream networks, shallow CNN
BibRef
Belaiche, R.[Reda],
Sabour, R.M.[Rita Meziati],
Migniot, C.[Cyrille],
Benezeth, Y.[Yannick],
Ginhac, D.[Dominique],
Nakamura, K.[Keisuke],
Gomez, R.[Randy],
Yang, F.[Fan],
Emotional State Recognition with Micro-expressions and Pulse Rate
Variability,
CIAP19(I:26-35).
Springer DOI
1909
BibRef
Ding, J.[Jing],
Tian, Z.[Zi],
Lyu, X.W.[Xiang-Wen],
Wang, Q.[Quande],
Zou, B.[Bochao],
Xie, H.[Haiyong],
Real-Time Micro-expression Detection in Unlabeled Long Videos Using
Optical Flow and LSTM Neural Network,
CAIP19(I:622-634).
Springer DOI
1909
BibRef
Takalkar, M.A.[Madhumita A.],
Zhang, H.M.[Hai-Min],
Xu, M.[Min],
Improving Micro-expression Recognition Accuracy Using Twofold Feature
Extraction,
MMMod19(I:652-664).
Springer DOI
1901
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
Hu, C.,
Jiang, D.,
Zou, H.,
Zuo, X.,
Shu, Y.,
Multi-task Micro-expression Recognition Combining Deep and
Handcrafted Features,
ICPR18(946-951)
IEEE DOI
1812
Feature extraction, Task analysis, Face recognition, Face,
Histograms, facial expression recognition, multi-task leanring, deep leanring
BibRef
Choi, D.Y.,
Kim, D.H.,
Song, B.C.,
Recognizing Fine Facial Micro-Expressions Using Two-Dimensional
Landmark Feature,
ICIP18(1962-1966)
IEEE DOI
1809
Frequency modulation, Videos,
Emotion recognition, Classification algorithms, Face,
emotion recognition
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
Li, Y.,
Huang, X.,
Zhao, G.,
Can Micro-Expression be Recognized Based on Single Apex Frame?,
ICIP18(3094-3098)
IEEE DOI
1809
Frequency-domain analysis, Face recognition, Machine learning,
Optical imaging, Integrated optics,
Deep Convolutional Neural Network
BibRef
Jahoda, P.,
Vobecky, A.,
Cech, J.,
Matas, J.G.,
Detecting Decision Ambiguity from Facial Images,
FG18(499-503)
IEEE DOI
1806
Face, Games, Standards, TV, Training, Uncertainty, Videos, Face, doubts,
facial expression, hesitation, images, uncertainty
BibRef
Vinkemeier, D.,
Valstar, M.,
Gratch, J.,
Predicting Folds in Poker Using Action Unit Detectors and Decision
Trees,
FG18(504-511)
IEEE DOI
1806
Databases, Decision trees, Detectors,
Facial muscles, Games, automatic facial analysis, human behaviour,
machine learning
BibRef
Davison, A.,
Merghani, W.,
Lansley, C.,
Ng, C.C.,
Yap, M.H.,
Objective Micro-Facial Movement Detection Using FACS-Based Regions
and Baseline Evaluation,
FG18(642-649)
IEEE DOI
1806
Face, Facial features, Feature extraction, Histograms, Optical flow,
Strain, micro-movements
BibRef
Ngo, A.C.L.[A. C. Le],
Johnston, A.,
Phan, R.C.W.,
See, J.,
Micro-Expression Motion Magnification: Global Lagrangian vs. Local
Eulerian Approaches,
FG18(650-656)
IEEE DOI
1806
Databases, Distortion, Dynamics, Feature extraction,
Machine learning, Protocols, Training, Eulerian, Lagrangian,
Multi-channel gradient model
BibRef
Peng, M.,
Wu, Z.,
Zhang, Z.,
Chen, T.,
From Macro to Micro Expression Recognition: Deep Learning on Small
Datasets Using Transfer Learning,
FG18(657-661)
IEEE DOI
1806
Databases, Face, Face recognition, Feature extraction,
Image recognition, Task analysis, Training, deep learning,
trasnfer learning
BibRef
LI, J.,
Wang, S.J.,
Yap, M.H.,
See, J.,
Hong, X.,
Li, X.,
MEGC2020 - The Third Facial Micro-Expression Grand Challenge,
FG20(777-780)
IEEE DOI
2102
Videos, Task analysis, Feature extraction, Databases,
Optical imaging, Face recognition
BibRef
Yap, M.H.,
See, J.,
Hong, X.,
Wang, S.J.,
Facial Micro-Expressions Grand Challenge 2018 Summary,
FG18(675-678)
IEEE DOI
1806
Databases, Face, Feature extraction, Machine learning, Task analysis,
Testing, Training, CASME II, Challenge, Facial micro expressions,
SAMM, objective classes
BibRef
Merghani, W.,
Davison, A.,
Yap, M.,
Facial Micro-Expressions Grand Challenge 2018: Evaluating
Spatio-Temporal Features for Classification of Objective Classes,
FG18(662-666)
IEEE DOI
1806
Databases, Encoding, Histograms, Optical imaging, Optimization,
Task analysis, block-based,
objective classes
BibRef
Khor, H.Q.,
See, J.,
Phan, R.C.W.,
Lin, W.,
Enriched Long-Term Recurrent Convolutional Network for Facial
Micro-Expression Recognition,
FG18(667-674)
IEEE DOI
1806
Data models, Databases, Face, Feature extraction, Nonlinear optics,
Optical imaging, Strain, LRCN, Micro-Expression Recognition,
objective class
BibRef
Duque, C.A.,
Alata, O.,
Emonet, R.,
Legrand, A.C.,
Konik, H.,
Micro-Expression Spotting Using the Riesz Pyramid,
WACV18(66-74)
IEEE DOI
1806
emotion recognition, eye, face recognition, image sequences,
video signal processing, ME spotting, MEs, Riesz pyramid,
Transforms
BibRef
Takalkar, M.A.,
Xu, M.,
Image Based Facial Micro-Expression Recognition Using Deep Learning
on Small Datasets,
DICTA17(1-7)
IEEE DOI
1804
Gabor filters, emotion recognition,
face recognition, feature extraction, image classification,
Videos
BibRef
Khalifa, H.,
Babiker, B.,
Goebel, R.,
Cheng, I.,
Facial expression recognition using SVM classification on mic-macro
patterns,
ICIP17(1757-1761)
IEEE DOI
1803
Voltage control, Facial expression, dual-view expression,
macro-pattern, micro-pattern, salient features, support vector machine
BibRef
Tran, T.K.[Thuong-Khanh],
Hong, X.P.[Xiao-Peng],
Zhao, G.Y.[Guo-Ying],
Sliding Window Based Micro-expression Spotting: A Benchmark,
ACIVS17(542-553).
Springer DOI
1712
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
Grobova, J.,
Colovic, M.,
Marjanovic, M.,
Njegus, A.,
Demire, H.,
Anbarjafari, G.,
Automatic Hidden Sadness Detection Using Micro-Expressions,
FG17(828-832)
IEEE DOI
1707
Databases, Face, Face recognition, Feature extraction,
Radio frequency, Support vector machines, Videos
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
Patel, D.[Devangini],
Hong, X.,
Zhao, G.,
Selective deep features for micro-expression recognition,
ICPR16(2258-2263)
IEEE DOI
1705
Face, Face recognition, Feature extraction,
Spatiotemporal phenomena, Standards, Support vector machines, Training
BibRef
Zhang, M.[Ming],
Chen, Y.H.[Yu-Hsin],
Fu, X.L.[Xiao-Lan],
Suppression of Alpha Oscillation During Micro-expression Recognition,
SFBA16(I: 544-551).
Springer DOI
1704
BibRef
Kooij, J.F.P.[Julian F. P.],
van Gemert, J.C.[Jan C.],
Depth-Aware Motion Magnification,
ECCV16(VIII: 467-482).
Springer DOI
1611
Using RGB-D.
BibRef
Ponce-López, V.[Víctor],
Chen, B.[Baiyu],
Oliu Simón, M.[Marc],
Corneanu, C.A.[Ciprian A.],
Clapés, A.[Albert],
Guyon, I.[Isabelle],
Baró, X.[Xavier],
Escalante, H.J.[Hugo Jair],
Escalera, S.[Sergio],
ChaLearn LAP 2016: First Round Challenge on First Impressions: Dataset
and Results,
ChaLearn16(III: 400-418).
Springer DOI
1611
BibRef
Subramaniam, A.[Arulkumar],
Patel, V.[Vismay],
Mishra, A.[Ashish],
Balasubramanian, P.[Prashanth],
Mittal, A.[Anurag],
Bi-modal First Impressions Recognition Using Temporally Ordered Deep
Audio and Stochastic Visual Features,
ChaLearn16(III: 337-348).
Springer DOI
1611
BibRef
Gürpinar, F.[Furkan],
Kaya, H.[Heysem],
Dibeklioglu, H.,
Salah, A.A.[Albert Ali],
Kernel ELM and CNN Based Facial Age Estimation,
ChaLearn16(785-791)
IEEE DOI
1612
BibRef
Gürpinar, F.[Furkan],
Kaya, H.[Heysem],
Salah, A.A.[Albert Ali],
Combining Deep Facial and Ambient Features for First Impression
Estimation,
ChaLearn16(III: 372-385).
Springer DOI
1611
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
Tiwari, C.,
Hanmandlu, M.,
Vasikarla, S.,
Suspicious Face Detection based on Eye and other facial features
movement monitoring,
AIPR15(1-8)
IEEE DOI
1605
feature extraction
BibRef
Wang, S.J.[Su-Jing],
Yan, W.J.[Wen-Jing],
Li, X.B.[Xiao-Bai],
Zhao, G.Y.[Guo-Ying],
Fu, X.L.[Xiao-Lan],
Micro-expression Recognition Using Dynamic Textures on Tensor
Independent Color Space,
ICPR14(4678-4683)
IEEE DOI
1412
brief involuntary facial expression. Reveals emotion.
BibRef
Wang, Y.[Yandan],
See, J.[John],
Phan, R.C.W.[Raphael C.W.],
Oh, Y.H.[Yee-Hui],
LBP with Six Intersection Points: Reducing Redundant Information in
LBP-TOP for Micro-expression Recognition,
ACCV14(I: 525-537).
Springer DOI
1504
BibRef
Liong, S.T.[Sze-Teng],
See, J.[John],
Phan, R.C.W.[Raphael C.W.],
Ngo, A.C.L.[Anh Cat Le],
Oh, Y.H.[Yee-Hui],
Wong, K.[Kok_Sheik],
Subtle Expression Recognition Using Optical Strain Weighted Features,
CV4AC14(644-657).
Springer DOI
1504
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
Lu, Z.Y.[Zhao-Yu],
Luo, Z.Q.[Zi-Qi],
Zheng, H.C.[Hui-Cheng],
Chen, J.[Jikai],
Li, W.H.[Wei-Hong],
A Delaunay-Based Temporal Coding Model for Micro-expression Recognition,
CV4AC14(698-711).
Springer DOI
1504
BibRef
Wang, S.J.[Su-Jing],
Wu, S.H.[Shu-Hang],
Fu, X.L.[Xiao-Lan],
A Main Directional Maximal Difference Analysis for Spotting
Micro-expressions,
WFI16(II: 449-461).
Springer DOI
1704
BibRef
Wang, S.J.[Su-Jing],
Yan, W.J.[Wen-Jing],
Zhao, G.Y.[Guo-Ying],
Fu, X.L.[Xiao-Lan],
Zhou, C.G.[Chun-Guang],
Micro-Expression Recognition Using Robust Principal Component Analysis
and Local Spatiotemporal Directional Features,
FacBeh14(325-338).
Springer DOI
1504
BibRef
Davison, A.K.[Adrian K.],
Yap, M.H.[Moi Hoon],
Costen, N.[Nicholas],
Tan, K.[Kevin],
Lansley, C.[Cliff],
Leightley, D.[Daniel],
Micro-Facial Movements: An Investigation on Spatio-Temporal Descriptors,
CVLBP14(111-123).
Springer DOI
1504
BibRef
Wu, C.L.[Chong-Liang],
Wang, S.F.[Shang-Fei],
Ji, Q.A.[Qi-Ang],
Multi-instance Hidden Markov Model for facial expression recognition,
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
Databases
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
Lin, Y.X.[Yu-Xu],
Chen, C.[Chun],
Song, M.L.[Ming-Li],
Bu, J.J.[Jia-Jun],
Liu, Z.C.[Zi-Cheng],
Implicit Surface Reconstruction with an Analogy of Polar Field Model,
PSIVT09(436-448).
Springer DOI
0901
BibRef
Reilly, J.,
McDonald, J.B.,
Modelling the Manifold of Facial Expression Using Texture,
IMVIP08(63-68).
IEEE DOI
0809
BibRef
Reilly, J.[Jane],
Ghent, J.[John],
McDonald, J.B.[John B.],
Non-Linear Approaches for the Classification of Facial Expressions at
Varying Degrees of Intensity,
IMVIP07(125-132).
IEEE DOI
0709
BibRef
Earlier:
Investigating the Dynamics of Facial Expression,
ISVC06(II: 334-343).
Springer DOI
0611
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
Hu, Y.X.[Yu-Xiao],
Zeng, Z.H.[Zhi-Hong],
Yin, L.J.[Li-Jun],
Wei, X.Z.[Xiao-Zhou],
Tu, J.L.[Ji-Lin],
Huang, T.S.[Thomas S.],
A study of non-frontal-view facial expressions recognition,
ICPR08(1-4).
IEEE DOI
0812
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
Song, M.L.[Ming-Li],
Wang, H.Q.[Hui-Qiong],
Bu, J.J.[Jia-Jun],
Chen, C.[Chun],
Liu, Z.C.[Zi-Cheng],
Subtle Facial Expression Modeling with Vector Field Decomposition,
ICIP06(2101-2104).
IEEE DOI
0610
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Expression Recognition for Stress .