22.3.6.1.9 Multi-View Face Expression Recognition and Analysis

Chapter Contents (Back)
Expressions. Multi-View. Faces, Expression. Some overlap with 3-D recogniton with stereo.
See also Three-Dimensional Face Expression Recognition and Analysis.

Moore, S.[Stephen], Bowden, R.[Richard],
Local binary patterns for multi-view facial expression recognition,
CVIU(115), No. 4, April 2011, pp. 541-558.
Elsevier DOI 1103
BibRef
Earlier:
Multi-view Pose and Facial Expression Recognition,
BMVCWS10(xx-yy).
HTML Version. 1009
BibRef
Earlier:
The effect of pose on Facial Expression Recognition,
BMVC09(xx-yy).
PDF File. 0909
BibRef
Earlier:
Automatic Facial Expression Recognition Using Boosted Discriminatory Classifiers,
AMFG07(71-83).
Springer DOI 0710
Facial expression recognition; Multi-view facial expression recognition; Head pose estimation; Local binary patterns; Local gabor binary patterns BibRef

Moore, S.[Stephen], Ong, E.J.[Eng Jon], Bowden, R.[Richard],
Facial Expression Recognition Using Spatiotemporal Boosted Discriminatory Classifiers,
ICIAR10(I: 405-414).
Springer DOI 1006
BibRef

Sheerman-Chase, T.[Tim], Ong, E.J.[Eng-Jon], Bowden, R.[Richard],
Online learning of robust facial feature trackers,
Learning09(1386-1392).
IEEE DOI 0910
BibRef
And:
Feature selection of facial displays for detection of non verbal communication in natural conversation,
HCI09(1985-1992).
IEEE DOI 0910
BibRef

Tariq, U.[Usman], Yang, J.C.[Jian-Chao], Huang, T.S.[Thomas S.],
Supervised super-vector encoding for facial expression recognition,
PRL(46), No. 1, 2014, pp. 89-95.
Elsevier DOI 1407
BibRef
Earlier:
Maximum margin GMM learning for facial expression recognition,
FG13(1-6)
IEEE DOI 1309
BibRef
Earlier:
Multi-view Facial Expression Recognition Analysis with Generic Sparse Coding Feature,
BeFIT12(III: 578-588).
Springer DOI 1210
GMM learning. Gaussian processes BibRef

Tariq, U.[Usman], Huang, T.S.[Thomas S.],
Features and fusion for expression recognition: A comparative analysis,
Biometrics12(146-152).
IEEE DOI 1207
BibRef

Zheng, W.,
Multi-View Facial Expression Recognition Based on Group Sparse Reduced-Rank Regression,
AffCom(5), No. 1, January 2014, pp. 71-85.
IEEE DOI 1407
Face recognition BibRef

Zhang, T., Zheng, W., Cui, Z., Zong, Y., Yan, J., Yan, K.,
A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition,
MultMed(18), No. 12, December 2016, pp. 2528-2536.
IEEE DOI 1612
Convolution BibRef

Zhang, T., Zheng, W., Cui, Z., Li, C.,
Deep Manifold-to-Manifold Transforming Network,
ICIP18(4098-4102)
IEEE DOI 1809
Kernel, Training, Manifolds, Convolution, Symmetric matrices, Machine learning, Testing, Riemannian manifold, SPD matrix, Action Recognition BibRef

Jampour, M.[Mahdi], Lepetit, V.[Vincent], Mauthner, T.[Thomas], Bischof, H.[Horst],
Pose-specific non-linear mappings in feature space towards multiview facial expression recognition,
IVC(58), No. 1, 2017, pp. 38-46.
Elsevier DOI 1703
Non-frontal facial expression recognition BibRef

Jampour, M.[Mahdi], Mauthner, T.[Thomas], Bischof, H.[Horst],
Pairwise linear regression: An efficient and fast multi-view facial expression recognition,
FG15(1-8)
IEEE DOI 1508
computational complexity BibRef

Kumar, S.I.[Sun-Il], Bhuyan, M.K., Lovell, B.C.[Brian C.], Iwahori, Y.J.[Yu-Ji],
Hierarchical uncorrelated multiview discriminant locality preserving projection for multiview facial expression recognition,
JVCIR(54), 2018, pp. 171-181.
Elsevier DOI 1806
Facial expression recognition BibRef

Liu, Y.Y.[Yuan-Yuan], Peng, J.[Jiyao], Dai, W.[Wei], Zeng, J.[Jiabei], Shan, S.G.[Shi-Guang],
Joint spatial and scale attention network for multi-view facial expression recognition,
PR(139), 2023, pp. 109496.
Elsevier DOI 2304
Facial expression recognition, Joint spatial and scale attention mechanism, Dynamically multi-task learning BibRef


Sreenivas, M.[Manogna], Takamuku, S.[Sawa], Biswas, S.[Soma], Chepuri, A.[Aditya], Vengatesan, B.[Balasubramanian], Natori, N.[Naotake],
Improved Cross-Dataset Facial Expression Recognition by Handling Data Imbalance and Feature Confusion,
PeopleAn22(262-277).
Springer DOI 2304
BibRef

Liu, Y., Zeng, J., Shan, S., Zheng, Z.,
Multi-Channel Pose-Aware Convolution Neural Networks for Multi-View Facial Expression Recognition,
FG18(458-465)
IEEE DOI 1806
Face, Gesture recognition, Jointly multi-scale fusion, MPCNN, Multi-view facial expression recognition, Pose-aware recognition network BibRef

Santra, B., Mukherjee, D.P.,
Local saliency-inspired binary patterns for automatic recognition of multi-view facial expression,
ICIP16(624-628)
IEEE DOI 1610
Face recognition BibRef

Hesse, N.[Nikolas], Gehrig, T.[Tobias], Gao, H.[Hua], Ekenel, H.K.[Hazim Kemal],
Multi-view facial expression recognition using local appearance features,
ICPR12(3533-3536).
WWW Link. 1302
BibRef

Hu, Y.X.[Yu-Xiao], Zeng, Z.H.[Zhi-Hong], Yin, L.J.[Li-Jun], Wei, X.Z.[Xiao-Zhou], Zhou, X.[Xi], Huang, T.S.[Thomas S.],
Multi-view facial expression recognition,
FG08(1-6).
IEEE DOI 0809
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Face Action Units for Expressions and Motion Analysis, FAU, FACS .


Last update:Mar 16, 2024 at 20:36:19