Xiang, T.,
Leung, M.K.H.,
Cho, S.Y.,
Expression recognition using fuzzy spatio-temporal modeling,
PR(41), No. 1, January 2008, pp. 204-216.
Elsevier DOI
0710
Facial expression; Fourier transform; Fuzzy C means; HCI;
Hausdorff distance; Spatio-temporal
BibRef
Zhao, G.Y.[Guo-Ying],
Huang, X.H.[Xiao-Hua],
Taini, M.[Matti],
Li, S.Z.[Stan Z.],
Pietikäinen, M.[Matti],
Facial expression recognition from near-infrared videos,
IVC(29), No. 9, August 2011, pp. 607-619.
Elsevier DOI
1109
BibRef
Earlier: A3, A1, A4, A5, only:
Facial expression recognition from near-infrared video sequences,
ICPR08(1-4).
IEEE DOI
0812
Facial expression recognition; Spatiotemporal descriptors;
Near-infrared (NIR); Visible light (VIS); Component-based facial
features
BibRef
Huang, X.H.[Xiao-Hua],
Zhao, G.Y.[Guo-Ying],
Zheng, W.M.[Wen-Ming],
Pietikäinen, M.[Matti],
Towards a dynamic expression recognition system under facial occlusion,
PRL(33), No. 16, 1 December 2012, pp. 2181-2191.
Elsevier DOI
1210
BibRef
Earlier: A1, A2, A4, A3:
Expression Recognition in Videos Using a Weighted Component-Based
Feature Descriptor,
SCIA11(569-578).
Springer DOI
1105
BibRef
Earlier: A1, A2, A4, A3:
Dynamic Facial Expression Recognition Using Boosted Component-Based
Spatiotemporal Features and Multi-classifier Fusion,
ACIVS10(II: 312-322).
Springer DOI
1012
Component; Facial sparse representation; Multiple feature fusion; Image
sequences
BibRef
Taini, M.[Matti],
Zhao, G.Y.[Guo-Ying],
Pietikäinen, M.[Matti],
Weight-Based Facial Expression Recognition from Near-Infrared Video
Sequences,
SCIA09(239-248).
Springer DOI
0906
BibRef
Feng, X.Y.[Xiao-Yi],
Hadid, A.[Abdenour],
Pietikäinen, M.[Matti],
A Coarse-to-Fine Classification Scheme for Facial Expression
Recognition,
ICIAR04(II: 668-675).
Springer DOI
0409
BibRef
Lee, C.S.[Chan-Su],
Elgammal, A.M.[Ahmed M.],
Non-linear factorised dynamic shape and appearance models for facial
expression analysis and tracking,
IET-CV(6), No. 6, 2012, pp. 567-580.
DOI Link
1301
BibRef
Lee, C.S.[Chan-Su],
Elgammal, A.M.[Ahmed M.],
Metaxas, D.N.[Dimitris N.],
Nonlinear Dynamic Shape and Appearance Models for Facial Motion
Tracking,
PSIVT07(205-220).
Springer DOI
0712
BibRef
Earlier: A1, A2, Only:
Nonlinear Shape and Appearance Models for Facial Expression Analysis
and Synthesis,
ICPR06(I: 497-502).
IEEE DOI
0609
See also Nonlinear Manifold Learning for Dynamic Shape and Dynamic Appearance.
BibRef
Lee, C.S.[Chan-Su],
Samaras, D.[Dimitris],
Analysis and synthesis of facial expressions using decomposable
nonlinear generative models,
FG11(847-852).
IEEE DOI
1103
BibRef
Zhao, Z.P.[Zhi-Peng],
Elgammal, A.M.[Ahmed M.],
Spatiotemporal pyramid representation for recognition of facial
expressions and hand gestures,
FG08(1-6).
IEEE DOI
0809
BibRef
Elgammal, A.M.[Ahmed M.],
Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance,
GenModel04(182).
IEEE DOI
0406
BibRef
Rivera, A.R.[Adin Ramirez],
Chae, O.[Oksam],
Spatiotemporal Directional Number Transitional Graph for Dynamic
Texture Recognition,
PAMI(37), No. 10, October 2015, pp. 2146-2152.
IEEE DOI
1509
Compass
BibRef
Rivera, A.R.[Adin Ramirez],
Castillo, J.A.R.[Jorge A. Rojas],
Chae, O.[Oksam],
Local Directional Number Pattern for Face Analysis:
Face and Expression Recognition,
IP(22), No. 5, May 2013, pp. 1740-1752.
IEEE DOI
1303
BibRef
Earlier:
Recognition of face expressions using Local Principal Texture Pattern,
ICIP12(2609-2612).
IEEE DOI
1302
BibRef
Earlier: A2, A1, A3:
Facial expression recognition based on Local Sign Directional Pattern,
ICIP12(2613-2616).
IEEE DOI
1302
BibRef
Bin Iqbal, M.T.[Md Tauhid],
Abdullah-Al-Wadud, M.,
Ryu, B.Y.[Byung-Yong],
Makhmudkhujaev, F.[Farkhod],
Chae, O.[Oksam],
Facial Expression Recognition with Neighborhood-Aware Edge
Directional Pattern (NEDP),
AffCom(11), No. 1, January 2020, pp. 125-137.
IEEE DOI
2003
BibRef
Earlier: A4, A2, A1, A3, A5:
Facial expression recognition with local prominent directional
pattern,
SP:IC(74), 2019, pp. 1-12.
Elsevier DOI
1904
Image edge detection, Face recognition, Shape, Noise measurement,
Encoding, Distortion, NEDP,
facial expression recognition.
LDPD, Histogram of directional variations,
Prominent directions, Shape pattern, Facial expression recognition
BibRef
Bin Iqbal, M.T.[Md Tauhid],
Ryu, B.Y.[Byung-Yong],
Rivera, A.R.[Adín Ramírez],
Makhmudkhujaev, F.[Farkhod],
Chae, O.[Oksam],
Bae, S.H.[Sung-Ho],
Facial Expression Recognition with Active Local Shape Pattern and
Learned-Size Block Representations,
AffCom(13), No. 3, July 2022, pp. 1322-1336.
IEEE DOI
2209
Shape, Face, Histograms, Face recognition, Robustness,
Feature extraction, Local shape pattern, LSP, orientlets,
expression recognition
BibRef
Ryu, B.Y.[Byung-Yong],
Rivera, A.R.[Adin Ramirez],
Kim, J.,
Chae, O.[Oksam],
Local Directional Ternary Pattern for Facial Expression Recognition,
IP(26), No. 12, December 2017, pp. 6006-6018.
IEEE DOI
1710
emotion recognition, face recognition, LDTP, active codes,
emotion-related features, face descriptor,
facial expression recognition,
independent cross-validation schemes,
local directional ternary pattern, person-dependent scheme,
BibRef
Rivera, A.R.[Adín Ramírez],
Castillo, J.A.R.[Jorge A. Rojas],
Chae, O.[Oksam],
Local Directional Texture Pattern image descriptor,
PRL(51), No. 1, 2015, pp. 94-100.
Elsevier DOI
1402
Directional number pattern
BibRef
Rubel, A.S.,
Ahsan Chowdhury, A.,
Kabir, M.H.,
Facial Expression Recognition Using Adaptive Robust Local Complete
Pattern,
ICIP19(41-45)
IEEE DOI
1910
face descriptor, facial expression recognition,
adaptive robust local complete pattern, edge response, histogram-based approach
BibRef
Jabid, T.[Taskeed],
Kabir, M.H.[M. Hasanul],
Chae, O.[Oksam],
Facial expression recognition using Local Directional Pattern (LDP),
ICIP10(1605-1608).
IEEE DOI
1009
BibRef
And:
Local Directional Pattern (LDP):
A Robust Image Descriptor for Object Recognition,
AVSS10(482-487).
IEEE DOI
1009
BibRef
And:
Gender Classification Using Local Directional Pattern (LDP),
ICPR10(2162-2165).
IEEE DOI
1008
See also Local Directional Pattern Variance (LDPv) Based Face Descriptor for Human Facial Expression Recognition, A.
BibRef
Fan, X.J.[Xi-Jian],
Tjahjadi, T.[Tardi],
A spatial-temporal framework based on histogram of gradients and
optical flow for facial expression recognition in video sequences,
PR(48), No. 11, 2015, pp. 3407-3416.
Elsevier DOI
1506
Histogram of gradients
BibRef
Elaiwat, S.,
Bennamoun, M.,
Boussaid, F.,
A spatio-temporal RBM-based model for facial expression recognition,
PR(49), No. 1, 2016, pp. 152-161.
Elsevier DOI
1511
Face expression recognition
BibRef
Kamarol, S.K.A.[Siti Khairuni Amalina],
Jaward, M.H.[Mohamed Hisham],
Parkkinen, J.[Jussi],
Parthiban, R.[Rajendran],
Spatiotemporal feature extraction for facial expression recognition,
IET-IPR(10), No. 7, 2016, pp. 534-541.
DOI Link
1608
emotion recognition
BibRef
Kamarol, S.K.A.[Siti Khairuni Amalina],
Jaward, M.H.[Mohamed Hisham],
Kälviäinen, H.[Heikki],
Parkkinen, J.[Jussi],
Parthiban, R.[Rajendran],
Joint facial expression recognition and intensity estimation based on
weighted votes of image sequences,
PRL(92), No. 1, 2017, pp. 25-32.
Elsevier DOI
1705
Video-based, facial, expression, intensity, analysis
BibRef
Kamarol, S.K.A.[Siti Khairuni Amalina],
Meli, N.S.[Nor Syazana],
Jaward, M.H.[Mohamed Hisham],
Kamrani, N.[Nader],
Spatio-temporal texture-based feature extraction for spontaneous
facial expression recognition,
MVA15(467-470)
IEEE DOI
1507
Algorithm design and analysis
BibRef
Zhang, K.H.[Kai-Hao],
Huang, Y.Z.[Yong-Zhen],
Du, Y.[Yong],
Wang, L.[Liang],
Facial Expression Recognition Based on Deep Evolutional
Spatial-Temporal Networks,
IP(26), No. 9, September 2017, pp. 4193-4203.
IEEE DOI
1708
emotion recognition, face recognition, geometry,
recurrent neural nets, video signal processing, MSCNN, PHRNN,
deep evolutional spatial-temporal networks,
dynamic-still information extraction,
expression dynamical evolution,
facial expression information analysis, facial landmarks,
BibRef
Kim, J.C.[Jin-Chul],
Chun, S.[Sung_Yong],
Lee, C.S.[Chan-Su],
Multi-modal motion dictionary learning for facial expression
recognition,
IJCVR(7), No. 4, 2017, pp. 443-453.
DOI Link
1708
BibRef
Chen, J.H.[Jin-Hui],
Takiguchi, T.[Tetsuya],
Ariki, Y.[Yasuo],
Rotation-reversal invariant HOG cascade for facial expression
recognition,
SIViP(11), No. 8, November 2017, pp. 1485-1492.
WWW Link.
1710
BibRef
Shabat, A.M.M.[Abuobayda M.M.],
Tapamo, J.R.[Jules-Raymond],
Angled local directional pattern for texture analysis with an
application to facial expression recognition,
IET-CV(12), No. 5, August 2018, pp. 603-608.
DOI Link
1807
BibRef
Earlier:
An Improved Scheme of Local Directional Pattern for Texture Analysis
with an Application to Facial Expressions,
CAIP17(II: 165-177).
Springer DOI
1708
BibRef
Earlier:
Directional Local Binary Pattern for Texture Analysis,
ICIAR16(226-233).
Springer DOI
1608
BibRef
Holder, R.P.[Ross Philip],
Tapamo, J.R.[Jules-Raymond],
Using Facial Expression Recognition for Crowd Monitoring,
PSIVT17(463-476).
Springer DOI
1802
BibRef
Zhao, J.F.[Jian-Feng],
Mao, X.[Xia],
Zhang, J.[Jian],
Learning deep facial expression features from image and optical flow
sequences using 3D CNN,
VC(34), No. 10, October 2018, pp. 1461-1475.
WWW Link.
1809
BibRef
Fan, X.J.[Xi-Jian],
Yang, X.B.[Xu-Bing],
Ye, Q.L.[Qiao-Lin],
Yang, Y.[Yin],
A discriminative dynamic framework for facial expression recognition
in video sequences,
JVCIR(56), 2018, pp. 182-187.
Elsevier DOI
1811
Histogram of gradients, Facial expression, Feature extraction
BibRef
Cruz, E.A.S.[Edwin Alberto Silva],
Jung, C.R.[Claudio Rosito],
Franco, C.H.E.[Carlos Humberto Esparza],
Facial expression recognition using temporal POEM features,
PRL(114), 2018, pp. 13-21.
Elsevier DOI
1811
Facial expression recognition, LBP, POEM, Pattern recognition,
Feature extraction
BibRef
Xie, S.Y.[Si-Yue],
Hu, H.F.[Hai-Feng],
Facial Expression Recognition Using Hierarchical Features With Deep
Comprehensive Multipatches Aggregation Convolutional Neural Networks,
MultMed(21), No. 1, January 2019, pp. 211-220.
IEEE DOI
1901
Feature extraction, Face recognition,
Convolutional neural networks, Lighting, Task analysis,
feature aggregation
BibRef
Revina, I.M.[I. Michael],
Emmanuel, W.R.S.[W.R. Sam],
Face Expression Recognition with the Optimization based Multi-SVNN
Classifier and the Modified LDP Features,
JVCIR(62), 2019, pp. 43-55.
Elsevier DOI
1908
Facial expression recognition, MultiSVNN classifier,
Grasshopper optimization algorithm,
Local Directional Pattern
BibRef
Kacem, A.[Anis],
Daoudi, M.[Mohamed],
Ben Amor, B.[Boulbaba],
Berretti, S.[Stefano],
Alvarez-Paiva, J.C.[Juan Carlos],
A Novel Geometric Framework on Gram Matrix Trajectories for Human
Behavior Understanding,
PAMI(42), No. 1, January 2020, pp. 1-14.
IEEE DOI
1912
BibRef
Earlier: A1, A2, A3, A5, Only:
A Novel Space-Time Representation on the Positive Semidefinite Cone
for Facial Expression Recognition,
ICCV17(3199-3208)
IEEE DOI
1802
Trajectory, Manifolds, Shape,
Emotion recognition, Skeleton, Covariance matrices,
facial expression recognition.
face recognition, feature extraction, geometry,
image representation, matrix algebra, sampling methods,
BibRef
Daoudi, M.[Mohamed],
Otberdout, N.[Naima],
Álvarez-Paiva, J.C.[Juan-Carlos],
Metric Learning on the Manifold of Oriented Ellipses:
Application to Facial Expression Recognition,
ManifLearn20(196-206).
Springer DOI
2103
BibRef
Yu, M.J.[Ming-Jing],
Zheng, H.C.[Hui-Cheng],
Peng, Z.F.[Zhi-Feng],
Dong, J.[Jiayu],
Du, H.[Heran],
Facial expression recognition based on a multi-task global-local
network,
PRL(131), 2020, pp. 166-171.
Elsevier DOI
2004
Facial expression recognition, Global-local network,
Spatial-temporal representation,
BibRef
Pan, X.Z.[Xian-Zhang],
Fusing HOG and convolutional neural network spatial-temporal features
for video-based facial expression recognition,
IET-IPR(14), No. 1, January 2020, pp. 176-182.
DOI Link
1912
BibRef
Wang, S.F.[Shang-Fei],
Zheng, Z.Q.[Zhuang-Qiang],
Yin, S.[Shi],
Yang, J.J.[Jia-Jia],
Ji, Q.A.[Qi-Ang],
A Novel Dynamic Model Capturing Spatial and Temporal Patterns for
Facial Expression Analysis,
PAMI(42), No. 9, September 2020, pp. 2082-2095.
IEEE DOI
2008
Hidden Markov models, Bayes methods, Muscles, Face recognition,
Analytical models, Facial muscles,
expressions categories recognition
BibRef
Wang, Z.H.[Zi-Heng],
Wang, S.F.[Shang-Fei],
Ji, Q.A.[Qi-Ang],
Capturing Complex Spatio-temporal Relations among Facial Muscles for
Facial Expression Recognition,
CVPR13(3422-3429)
IEEE DOI
1309
Facial Expression Recognition; ITBN
BibRef
Poux, D.[Delphine],
Allaert, B.[Benjamin],
Ihaddadene, N.[Nacim],
Bilasco, I.M.[Ioan Marius],
Djeraba, C.[Chaabane],
Bennamoun, M.[Mohammed],
Dynamic Facial Expression Recognition Under Partial Occlusion With
Optical Flow Reconstruction,
IP(31), 2022, pp. 446-457.
IEEE DOI
2112
Face recognition, Image reconstruction, Optical imaging, Protocols,
Feature extraction, Image recognition, Task analysis,
facial motion reconstruction
BibRef
Wang, S.[Shanmin],
Shuai, H.[Hui],
Liu, Q.S.[Qing-Shan],
Phase Space Reconstruction Driven Spatio-Temporal Feature Learning
for Dynamic Facial Expression Recognition,
AffCom(13), No. 3, July 2022, pp. 1466-1476.
IEEE DOI
2209
Feature extraction, Face recognition,
Convolutional neural networks, Learning systems, Data mining,
evolutionary pattern
BibRef
Alkaddour, M.[Muhannad],
Tariq, U.[Usman],
Dhall, A.[Abhinav],
Self-Supervised Approach for Facial Movement Based Optical Flow,
AffCom(13), No. 4, October 2022, pp. 2071-2085.
IEEE DOI
2212
Optical flow, Faces, Computer architecture, Optical losses,
Image motion analysis, Convolutional neural networks,
facial expression analysis
BibRef
Chen, W.C.[Wei-Cong],
Zhang, D.[Dong],
Li, M.[Ming],
Lee, D.J.[Dah-Jye],
STCAM: Spatial-Temporal and Channel Attention Module for Dynamic
Facial Expression Recognition,
AffCom(14), No. 1, January 2023, pp. 800-810.
IEEE DOI
2303
Feature extraction, Correlation, Face recognition, Task analysis,
Faces, Image sequences, Dynamic facial expression recognition,
spatial-temporal attention
BibRef
Hayale, W.[Wassan],
Negi, P.S.[Pooran Singh],
Mahoor, M.H.[Mohammad H.],
Deep Siamese Neural Networks for Facial Expression Recognition in the
Wild,
AffCom(14), No. 2, April 2023, pp. 1148-1158.
IEEE DOI
2306
Measurement, Face recognition, Neural networks, Task analysis,
Euclidean distance, Image recognition, Training, Similarity metric,
Siamese networks
BibRef
Hasani, B.,
Mahoor, M.H.,
Facial Affect Estimation in the Wild Using Deep Residual and
Convolutional Networks,
FaceWild17(1955-1962)
IEEE DOI
1709
Correlation, Databases, Estimation,
Feature extraction, Measurement, Training
BibRef
Hasani, B.,
Mahoor, M.H.,
Facial Expression Recognition Using Enhanced Deep 3D Convolutional
Neural Networks,
DeepAffective17(2278-2288)
IEEE DOI
1709
BibRef
And:
Spatio-Temporal Facial Expression Recognition Using Convolutional
Neural Networks and Conditional Random Fields,
FG17(790-795)
IEEE DOI
1707
Data mining, Face,
Videos.
Computer architecture, Databases, Face recognition,
Feature extraction, Hidden Markov models, Neural networks, Training
BibRef
Mollahosseini, A.,
Chan, D.,
Mahoor, M.H.[Mohammad H.],
Going deeper in facial expression recognition using deep neural
networks,
WACV16(1-10)
IEEE DOI
1606
See also DISFA: A Spontaneous Facial Action Intensity Database. Biological neural networks
BibRef
Humpe, L.[Lukas],
Murillo, S.F.[Simon Friedrich],
Muires, J.[Janik],
Gloor, P.[Peter],
The Rhythm of Flow: Detecting Facial Expressions of Flow Experiences
Using CNNs,
AffCom(14), No. 2, April 2023, pp. 1138-1147.
IEEE DOI
2306
Task analysis, Faces, Videos, Emotion recognition,
Face recognition, Convolutional neural networks,
facial expression
BibRef
Teng, J.N.[Jia-Ning],
Zhang, D.[Dong],
Zou, W.[Wei],
Li, M.[Ming],
Lee, D.J.[Dah-Jye],
Typical Facial Expression Network Using a Facial Feature Decoupler
and Spatial-Temporal Learning,
AffCom(14), No. 2, April 2023, pp. 1125-1137.
IEEE DOI
2306
Feature extraction, Facial features, Face recognition,
Convolutional neural networks, Data mining, 3D CNN
BibRef
Al-Sumaidaee, S.A.M.,
Abdullah, M.A.M.,
Al-Nima, R.R.O.,
Dlay, S.S.,
Chambers, J.A.,
Spatio-temporal modelling with multi-gradient features and elongated
quinary pattern descriptor for dynamic facial expression recognition,
PR(142), 2023, pp. 109647.
Elsevier DOI
2307
Dynamic facial expression recognition, Gaussian mask,
Three orthogonal planes, Block volume, Three-dimensional histogram features
BibRef
Wang, H.Y.[Han-Yang],
Li, B.[Bo],
Wu, S.[Shuang],
Shen, S.Y.[Si-Yuan],
Liu, F.[Feng],
Ding, S.H.[Shou-Hong],
Zhou, A.[Aimin],
Rethinking the Learning Paradigm for Dynamic Facial Expression
Recognition,
CVPR23(17958-17968)
IEEE DOI
2309
BibRef
Churamani, N.[Nikhil],
Kalkan, S.[Sinan],
Gunes, H.[Hatice],
AULA-Caps: Lifecycle-Aware Capsule Networks for Spatio-Temporal
Analysis of Facial Actions,
FG21(01-08)
IEEE DOI
2303
Face recognition, Computational modeling,
Focusing, Gesture recognition, Streaming media
BibRef
Tuo, M.J.[Ming-Jian],
Chen, J.Y.[Jing-Ying],
Facial Expression Recognition Using Cascaded Random Forest Based on
Local Features,
PSIVTWS17(42-53).
Springer DOI
1806
BibRef
Ghimire, D.[Deepak],
Park, S.H.[Sang Hyun],
Kim, M.J.[Mi Jin],
Facial Expression Recognition Using Local Region Specific Dense Optical
Flow and LBP Features,
ACIVS17(28-38).
Springer DOI
1712
BibRef
Yu, J.[Jun],
A Unified Framework for Monocular Video-Based Facial Motion Tracking
and Expression Recognition,
MMMod17(II: 50-62).
Springer DOI
1701
BibRef
Ptucha, R.[Raymond],
Savakis, A.E.[Andreas E.],
Towards the Usage of Optical Flow Temporal Features for Facial
Expression Classification,
ISVC12(II: 388-397).
Springer DOI
1209
BibRef
And:
Fusion of static and temporal predictors for unconstrained facial
expression recognition,
ICIP12(2597-2600).
IEEE DOI
1302
BibRef
Zhao, S.C.[Si-Cheng],
Yao, H.X.[Hong-Xun],
Sun, X.S.[Xiao-Shuai],
Affective Video Classification Based on Spatio-temporal Feature Fusion,
ICIG11(795-800).
IEEE DOI
1109
BibRef
Riaz, Z.[Zahid],
Beetz, M.[Michael],
Spatio-Temporal Multifeature for Facial Analysis,
Face12(II: 199-209).
Springer DOI
1210
BibRef
Riaz, Z.[Zahid],
Gedikli, S.[Suat],
Beetz, M.[Michael],
Spatio-temporal Facial Features for HRI Scenarios,
CRV11(257-263).
IEEE DOI
1105
BibRef
Riaz, Z.[Zahid],
Mayer, C.[Christoph],
Beetz, M.[Michael],
Radig, B.[Bernd],
Model Based Analysis of Face Images for Facial Feature Extraction,
CAIP09(99-106).
Springer DOI
0909
BibRef
Earlier:
Facial Expressions Recognition from Image Sequences,
COST08(315-323).
Springer DOI
0810
BibRef
Riaz, Z.[Zahid],
Mayer, C.[Christoph],
Wimmer, M.[Matthias],
Beetz, M.[Michael],
Radig, B.[Bernd],
A Model Based Approach for Expressions Invariant Face Recognition,
ICB09(289-298).
Springer DOI
0906
BibRef
Mayer, C.[Christoph],
Wimmer, M.[Matthias],
Stulp, F.[Freek],
Riaz, Z.[Zahid],
Roth, A.[Anton],
Eggers, M.[Martin],
Radig, B.[Bernd],
A real time system for model-based interpretation of the dynamics of
facial expressions,
FG08(1-2).
IEEE DOI
0809
BibRef
Wimmer, M.[Matthias],
Mayer, C.[Christoph],
Pietzsch, S.[Sylvia],
Radig, B.[Bernd],
Tailoring Model-Based Techniques to Facial Expression Interpretation,
ACHI08(303-308).
IEEE DOI
0802
BibRef
Yeasin, M.,
Bullot, B.,
Sharma, R.,
From facial expression to level of interest: a spatio-temporal approach,
CVPR04(II: 922-927).
IEEE DOI
0408
BibRef
Hoey, J.[Jesse],
Little, J.J.,
Bayesian clustering of optical flow fields,
ICCV03(1086-1093).
IEEE DOI
0311
Extraction of features in the flow field.
BibRef
Hoey, J.[Jesse],
Little, J.J.[James J.],
Value directed learning of gestures and facial displays,
CVPR04(II: 1026-1033).
IEEE DOI
0408
BibRef
And:
Decision Theoretic Modeling of Human Facial Displays,
ECCV04(Vol III: 26-38).
Springer DOI
0405
BibRef
Hoey, J.,
Clustering contextual facial display sequences,
AFGR02(339-344).
IEEE DOI
0206
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Expression Recognition for Human Comupter Interaction .