21.3.6.1.4 Micro Expressions, Subtle Expressions, Face Expression Recognition

Chapter Contents (Back)
Faces, Expression. Facial Expressions. Micro Expressions. Expressions. HCI.

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.
WWW Link. 1303
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

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

Clavel, C., Callejas, Z.,
Sentiment Analysis: From Opinion Mining to Human-Agent Interaction,
AffCom(7), No. 1, January 2016, pp. 74-93.
IEEE DOI 1603
Analytical models 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.[Ziyan], 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.[KokSheik], 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

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

Le Ngo, A.C., See, J., Phan, R.C.W.,
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


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

Liong, S.T.[Sze-Teng], See, J.[John], Wong, K.[KokSheik], Phan, R.C.W.[Raphael Chung-Wei],
Automatic Micro-expression Recognition from Long Video Using a Single Spotted Apex,
WFI16(II: 345-360).
Springer DOI 1704
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.[Ziqi], 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

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.[Yuxu], 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 .


Last update:Nov 11, 2017 at 13:31:57