21.3.6.1.1 Sptatio-Temporal Analysis for Face Expression Recognition

Chapter Contents (Back)
Faces, Expression. Facial Expressions. Spatio-Temporal.

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.], Pietikšinen, 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], Pietikšinen, 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], Pietikšinen, 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], Pietikšinen, 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

Makhmudkhujaev, F.[Farkhod], Abdullah-Al-Wadud, M., Iqbal, M.T.B.[Md Tauhid Bin], Ryu, B.[Byungyong], Chae, O.[Oksam],
Facial expression recognition with local prominent directional pattern,
SP:IC(74), 2019, pp. 1-12.
Elsevier DOI 1904
LDPD, Histogram of directional variations, Prominent directions, Shape pattern, Facial expression recognition BibRef

Ryu, B., 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.[AdŪn RamŪrez], 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

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], Kšlvišinen, 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., Huang, Y., Du, Y., Wang, L.,
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., Hu, H.,
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


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

Kacem, A., Daoudi, M., Amor, B.B., Alvarez-Paiva, J.C.,
A Novel Space-Time Representation on the Positive Semidefinite Cone for Facial Expression Recognition,
ICCV17(3199-3208)
IEEE DOI 1802
face recognition, feature extraction, geometry, image representation, matrix algebra, sampling methods, Trajectory 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

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

Yu, J.[Jun],
A Unified Framework for Monocular Video-Based Facial Motion Tracking and Expression Recognition,
MMMod17(II: 50-62).
Springer DOI 1701
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

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 .


Last update:Oct 1, 2019 at 15:23:24