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

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, stable codes, two-level grid, Compass, Emotion recognition, Feature extraction, Histograms, Image edge detection, Face descriptor, edge pattern, 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

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, facial morphological variations, facial physical structure, geometry information, geometry-appearance information extraction, loss function calculation, multisignal convolutional neural network, part-based hierarchical bidirectional recurrent neural network, partial-whole information extraction, spatial feature extraction, temporal feature extraction, temporal sequences, verification signals, videos, Data mining, Databases, Face recognition, Feature extraction, Image recognition, Recurrent neural networks, Facial expression recognition, deep spatial-temporal networks, dynamical evolution, recognition and verification signals. 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.[Abuobayda M.], Tapamo, J.R.[Jules-Raymond],
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

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

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

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Expression Recognition for Human Comupter Interaction .


Last update:Nov 18, 2017 at 20:56:18