21.3.6.3 Facial Expressions, Overviews, Surveys, Data

Chapter Contents (Back)
Survey, Facial Expressions. Face Recognition. Application, Faces. Expressions.

Oulu-CASIA NIR&VIS facial expression database,
2008.
WWW Link. Dataset, Facial Expressions. 6 typical expressions from 80 subjects.

BU-3DFE (Binghamton University 3D Facial Expression) Database,
Dataset, Facial Expressions.
HTML Version. 1806

Valstar, M.F.[Michel F.], Mehu, M.[Marc], Jiang, B.[Bihan], Pantic, M.[Maja], Scherer, K.[Klaus],
Meta-Analysis of the First Facial Expression Recognition Challenge,
SMC-B(42), No. 4, August 2012, pp. 966-979.
IEEE DOI 1208
BibRef
Earlier: A1, A3, A2, A4, A5:
The first facial expression recognition and analysis challenge,
FG11(921-926).
IEEE DOI 1103
BibRef

Valstar, M.F.[Michel F.], Sánchez-Lozano, E.[Enrique], Cohn, J.F.[Jeffrey F.], Jeni, L.A.[László A.], Girard, J.M.[Jeffrey M.], Zhang, Z.[Zheng], Yin, L.J.[Li-Jun], Pantic, M.[Maja],
FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge,
FG17(839-847)
IEEE DOI 1707
Cameras, Databases, Estimation, Face, Face recognition, Gold, Three-dimensional, displays BibRef

The AR Face Database,
1998.
HTML Version. Or:
HTML Version. Dataset, Faces.

Ekman, P.[Paul], Friesen, W.V.[Wallace V.],
Pictures of Facial Affect,
Consulting PsychologistsPress, Palo Alto, CA. 1976. BibRef 7600

Ekman, P.[Paul], Friesen, W.V.[Wallace V.],
The Facial Action Coding System: A Technique for the Measurement of Facial Movement,
Consulting PsychologistsPress, Palo Alto, CA. 1978. FACS. Parts 1 and 2. The result of considerable study of facial expressions with numbered listing of different basic expressions (and what muscles control them and how), common combinations and their meanings. Standard reference for coding expressions from one image. (Human coding). BibRef 7800

Ekman, P.[Paul], Friesen, W.V.[Wallace V.], Hager, J.C.,
The Facial Action Coding System,
Second Edition Research Nexus eBook2002.
WWW Link. BibRef 0200

Ekman, P.,
Facial expression of emotion: New findings, new questions,
PsychSci(3), 1992, pp. 34-38. BibRef 9200

Ekman, P., Rosenberg, E.L.,
What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS),
Oxford University Press2004. ISBN: 0-19-510447-1. Second edition. Buy this book: What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS) (Series in Affective Science) BibRef 0400

Ekman, P., Oster, H., (1979).
Facial expressions of emotion,
AnnPsych(20), 1979, pp. 527-554. BibRef 7900

Pantic, M.[Maja], Rothkrantz, L.J.M.[Leon J.M.],
Automatic Analysis of Facial Expressions: The State of the Art,
PAMI(22), No. 12, December 2000, pp. 1424-1445.
IEEE DOI 0012
Survey, Facial Expressions. 100+ references. Discusses a large number of techniques with how they do it. Holistic approach, analytic approach, hybrid approach. Static and video approaches. BibRef

Pantic, M.[Maja], Rothkrantz, L.J.M.[Leon J.M.],
Toward an affect-sensitive multimodal human-computer interaction,
PIEEE(91), No. 9, September 2003, pp. 1370-1390.
IEEE DOI 0309
BibRef

Fasel, B., Luettin, J.[Juergen],
Automatic Facial Expression Analysis: A Survey,
PR(36), No. 1, January 2003, pp. 259-275.
Elsevier DOI 0210
Survey, Facial Expressions. BibRef

Sim, T.[Terence], Baker, S., Bsat, M.,
The CMU Pose, Illumination, and Expression Database,
PAMI(25), No. 12, December 2003, pp. 1615-1618.
IEEE Abstract. 0401
Dataset, Faces. BibRef
Earlier:
The CMU Pose, Illumination, and Expression (PIE) Database of Human Faces,
AFGR02(46-51).
IEEE DOI
HTML Version. 0206
BibRef
And: CMU-RI-TR-01-02, January, 2001.
HTML Version.
PDF File.
PS File.
HTML Version. 0102
BibRef

Gross, R.[Ralph], Matthews, I.[Iain], Cohn, J.F.[Jeffrey F.], Kanade, T.[Takeo], Baker, S.[Simon],
Multi-PIE,
IVC(28), No. 5, May 2010, pp. 807-813.
Elsevier DOI 1003
Dataset, Faces. BibRef
Earlier: FG08(1-8).
IEEE DOI 0809
Face database; Face recognition across pose; Face recognition across illumination; Face recognition across expression See also CMU Pose, Illumination, and Expression Database, The. BibRef

Kanade, T.[Takeo], Cohn, J.F.[Jeffrey F.], Tian, Y.L.[Ying-Li],
Comprehensive Database for Facial Expression Analysis,
AFGR00(46-53).
IEEE DOI 0003
Dataset, Faces. Dataset, Expressions. BibRef

Zeng, Z.H.[Zhi-Hong], Pantic, M.[Maja], Roisman, G.I.[Glenn I.], Huang, T.S.[Thomas S.],
A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions,
PAMI(31), No. 1, January 2009, pp. 39-58.
IEEE DOI 0812
Survey, Emotion Recogniton. BibRef

Shan, C.F.[Cai-Feng], Gong, S.G.[Shao-Gang], McOwan, P.W.[Peter W.],
Facial Expression Recognition Based on Local Binary Patterns: A Comprehensive Study,
IVC(27), No. 6, 4 May 2009, pp. 803-816.
Elsevier DOI 0904
Survey, Facial Expressions. Facial expression recognition; Local Binary Patterns; Support vector machine; Adaboost; Linear discriminant analysis; Linear programming BibRef

Vinciarelli, A.[Alessandro], Pantic, M.[Maja], Bourlard, H.[Herve],
Social signal processing: Survey of an emerging domain,
IVC(27), No. 12, November 2009, pp. 1743-1759.
Elsevier DOI 0910
Social signals; Computer vision; Speech processing; Human behaviour analysis; Social interactions BibRef

Vinciarelli, A.[Alessandro], Salamin, H., Pantic, M.[Maja],
Social Signal Processing: Understanding social interactions through nonverbal behavior analysis,
CVPR4HB09(42-49).
IEEE DOI 0906
BibRef

Wang, S., Liu, Z., Lv, S., Lv, Y., Wu, G., Peng, P., Chen, F., Wang, X.,
A Natural Visible and Infrared Facial Expression Database for Expression Recognition and Emotion Inference,
MultMed(12), No. 7, 2010, pp. 682-691.
IEEE DOI 1011
Dataset, Facial Expressions. BibRef

Sandbach, G.[Georgia], Zafeiriou, S.P.[Stefanos P.], Pantic, M.[Maja], Yin, L.J.[Li-Jun],
Static and dynamic 3D facial expression recognition: A comprehensive survey,
IVC(30), No. 10, October 2012, pp. 683-697.
Elsevier DOI 1210
Survey, Facial Expressions. Facial behaviour analysis; Facial expression recognition; 3D facial surface; 3D facial surface sequences (4D faces) BibRef

Zafeiriou, S.P.[Stefanos P.], Yin, L.J.[Li-Jun],
3D facial behaviour analysis and understanding,
IVC(30), No. 10, October 2012, pp. 681-682.
Elsevier DOI 1210
Special section intro. BibRef

Matuszewski, B.J.[Bogdan J.], Quan, W.[Wei], Shark, L.K.[Lik-Kwan], McLoughlin, A.S.[Alison S.], Lightbody, C.E.[Catherine E.], Emsley, H.C.A.[Hedley C.A.], Watkins, C.L.[Caroline L.],
Hi4D-ADSIP 3-D dynamic facial articulation database,
IVC(30), No. 10, October 2012, pp. 713-727.
Elsevier DOI 1210
Dataset, Facial Expressions. Facial articulation database; Expression recognition; Facial; Dysfunctions; Facial expression validation BibRef

Schuller, B.[Bjorn], Douglas-Cowie, E.[Ellen], Batliner, A.[Anton],
Guest Editorial: Special Section on Naturalistic Affect Resources for System Building and Evaluation,
AffCom(3), No. 1, 2012, pp. 3-4.
IEEE DOI 1202
BibRef

Wang, S.F.[Shang-Fei], Liu, Z.L.[Zhi-Lei], Wang, Z.Y.[Zhao-Yu], Wu, G.B.[Guo-Bing], Shen, P.J.[Pei-Jia], He, S.[Shan], Wang, X.[Xufa],
Analyses of a Multimodal Spontaneous Facial Expression Database,
AffCom(4), No. 1, January 2013, pp. 34-46.
IEEE DOI 1304
Dataset, Expression Recognition. BibRef

Wang, Z.Y.[Zhao-Yu], Wang, S.F.[Shang-Fei], Zhu, Y.C.[Ya-Chen], Ji, Q.A.[Qi-Ang],
Bias analyses of spontaneous facial expression database,
ICPR12(2926-2929).
WWW Link. 1302
BibRef

Baveye, Y., Dellandrea, E., Chamaret, C., Chen, L.M.[Li-Ming],
LIRIS-ACCEDE: A Video Database for Affective Content Analysis,
AffCom(6), No. 1, January 2015, pp. 43-55.
IEEE DOI 1506
Dataset, Affective. copyright BibRef

de Melo, C.M., Gratch, J., Carnevale, P.J.,
Humans versus Computers: Impact of Emotion Expressions on People's Decision Making,
AffCom(6), No. 2, April 2015, pp. 127-136.
IEEE DOI 1507
avatars BibRef

Vinola, C., Vimaladevi, K.,
A Survey on Human Emotion Recognition Approaches, Databases and Applications,
ELCVIA(14), No. 2, 2015, pp. xx-yy.
DOI Link 1601
Survey, Emotion Recognition. BibRef

d'Mello, S.K.[Sidney K.], Kory, J.[Jacqueline],
A Review and Meta-Analysis of Multimodal Affect Detection Systems,
Surveys(47), No. 3, April 2015, pp. Article No 43.
DOI Link 1506
Affect detection is an important pattern recognition problem that has inspired researchers from several areas. The field is in need of a systematic review due to the recent influx of Multimodal (MM) affect detection systems that differ in several respects and sometimes yield incompatible results. BibRef

Deshmukh, S., Patwardhan, M., Mahajan, A.,
Survey on real-time facial expression recognition techniques,
IET-Bio(5), No. 3, 2016, pp. 155-163.
DOI Link 1609
Survey, Facial Expressions. face recognition BibRef

Zafeiriou, S.P.[Stefanos P.], Zhao, G.Y.[Guo-Ying], Pietikainen, M.[Matti], Chellappa, R.[Rama], Kotsia, I.[Irene], Cohn, J.F.[Jeffrey F.],
Editorial of special issue on spontaneous facial behaviour analysis,
CVIU(147), No. 1, 2016, pp. 50-51.
Elsevier DOI 1605
BibRef

Corneanu, C.A.[Ciprian A.], Oliu Simón, M.[Marc], Cohn, J.F., Guerrero, S.E.,
Survey on RGB, 3D, Thermal, and Multimodal Approaches for Facial Expression Recognition: History, Trends, and Affect-Related Applications,
PAMI(38), No. 8, August 2016, pp. 1548-1568.
IEEE DOI 1608
Survey, Emotion Recogniton. BibRef

Happy, S.L., Patnaik, P., Routray, A., Guha, R.,
The Indian Spontaneous Expression Database for Emotion Recognition,
AffCom(8), No. 1, January 2017, pp. 131-142.
IEEE DOI 1703
Cameras BibRef

Ramachandram, D., Taylor, G.W.,
Deep Multimodal Learning: A Survey on Recent Advances and Trends,
SPMag(34), No. 6, November 2017, pp. 96-108.
IEEE DOI 1712
Computer architecture, Emotion recognition, Face recognition, Machine learning, Sensors, Training data BibRef

Krakovsky, M.[Marina],
Artificial (Emotional) Intelligence,
CACM(61), No. 4, April 2018, pp. 18-19.
DOI Link 1804
Short review. BibRef

Zhang, L.G.[Li-Gang], Verma, B.[Brijesh], Tjondronegoro, D.[Dian], Chandran, V.[Vinod],
Facial Expression Analysis under Partial Occlusion: A Survey,
Surveys(51), No. 2, June 2018, pp. Article No 25.
DOI Link 1806
Survey, Facial Expressions. BibRef


Lüsi, I., Junior, J.C.S.J.[J. C. S. J.], Gorbova, J., Baró, X., Escalera, S., Demirel, H., Allik, J., Ozcinar, C., Anbarjafari, G.,
Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases,
FG17(809-813)
IEEE DOI 1707
Databases, Emotion recognition, Face, Nose, Psychology, Three-dimensional, displays BibRef

Benitez-Garcia, G., Nakamura, T., Kaneko, M.,
Analysis of in- and out-group differences between Western and East-Asian facial expression recognition,
MVA17(402-405)
DOI Link 1708
Databases, Face recognition, Feature extraction, Mouth, Principal component analysis, Shape, Wireless, sensor, networks BibRef

Baltrušaitis, T.[Tadas], Zadeh, A., Lim, Y.C., Morency, L.P.[Louis-Philippe],
OpenFace 2.0: Facial Behavior Analysis Toolkit,
FG18(59-66)
IEEE DOI 1806
Code, Face Analysis. Estimation, Face, Magnetic heads, Real-time systems, Tools, Training, eye gaze, facial behavior analysis, head pose, landmark detection BibRef

Zhang, Z., Girard, J.M., Wu, Y., Zhang, X., Liu, P., Ciftci, U., Canavan, S., Reale, M., Horowitz, A., Yang, H., Cohn, J.F., Ji, Q., Yin, L.,
Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis,
CVPR16(3438-3446)
IEEE DOI 1612
Dataset, Emotion. BibRef

Zafeiriou, S.P.[Stefanos P.], Papaioannou, A.[Athanasios], Kotsia, I.[Irene], Nicolaou, M.A.[Mihalis A.], Zhao, G.Y.[Guo-Ying],
Facial Affect 'In-the-Wild' A Survey and a New Database,
Affect16(1487-1498)
IEEE DOI 1612
BibRef

Abtahi, F., Ro, T., Li, W., Zhu, Z.,
Emotion Analysis Using Audio/Video, EMG and EEG: A Dataset and Comparison Study,
WACV18(10-19)
IEEE DOI 1806
audio signal processing, electroencephalography, electromyography, emotion recognition, feature extraction, Machine learning BibRef

Li, W., Abtahi, F., Tsangouri, C., Zhu, Z.,
Towards an 'In-the-Wild' Emotion Dataset Using a Game-Based Framework,
Affect16(1526-1534)
IEEE DOI 1612
BibRef

Baltrušaitis, T.[Tadas], Robinson, P.[Peter], Morency, L.P.[Louis-Philippe],
OpenFace: An open source facial behavior analysis toolkit,
WACV16(1-10)
IEEE DOI 1606
Code, Face Analysis. Estimation; Face; Magnetic heads; Real-time systems; Training; Videos See also eNTERFACE-05 Audio-Visual Emotion Database, The. BibRef

Suk, M.[Myunghoon], Prabhakaran, B.[Balakrishnan],
Real-Time Facial Expression Recognition on Smartphones,
WACV15(1054-1059)
IEEE DOI 1503
BibRef
Earlier:
Real-Time Mobile Facial Expression Recognition System: A Case Study,
IWMV14(132-137)
IEEE DOI 1409
Face recognition. active shape model BibRef

Aubrey, A.J.[Andrew J.], Marshall, D.[David], Rosin, P.L.[Paul L.], Vendeventer, J.[Jason], Cunningham, D.W.[Douglas W.], Wallraven, C.[Christian],
Cardiff Conversation Database (CCDb): A Database of Natural Dyadic Conversations,
LV13(277-282)
IEEE DOI 1309
Dataset, Facial Expressions. Conversations; Database; Facial Expressions BibRef

Vijayan, V.[Vipin], Bowyer, K.W.[Kevin W.], Flynn, P.J.[Patrick J.],
3D Twins and Expression Challenge,
BenchFace11(2100-2105).
IEEE DOI 1201
BibRef

Lucey, P.[Patrick], Cohn, J.F.[Jeffrey F.], Kanade, T.[Takeo], Saragih, J.M.[Jason M.], Ambadar, Z.[Zara], Matthews, I.[Iain],
The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression,
CVPR4HB10(94-101).
IEEE DOI 1006
Dataset, Facial Expressions. BibRef

Cavanagh, P., von Grunau, M., Zimmerman, L.,
View dependence of 3D recovery from folded pictures and warped 3D faces,
3DPVT04(35-41).
IEEE DOI 0412
Start from the illusion of changing expression when a face image is folded and tilted. Analyze how expression is really recovered. BibRef

Tian, Y.L.[Ying-Li],
Evaluation of Face Resolution for Expression Analysis,
FaceVideo04(82).
IEEE DOI 0502
BibRef

Cohn, J.F., Kanade, T., Moriyama, T., Ambadar, Z., Xiao, J., Gao, J., Imamura, H.,
A Comparative Study of Alternative FACS Coding Algorithms,
CMU-RI-TR-02-06, November, 2001.
PDF File. 0205
See also Facial Action Coding System: A Technique for the Measurement of Facial Movement, The. BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Gesture and Pose Analysis .


Last update:Aug 16, 2018 at 18:22:30