List of facial expression databases: Difference between revisions

Revision as of 12:55, 23 June 2020

Revision as of 13:13, 23 June 2020

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|FERG-3D-DB (Facial Expression Research Group 3D Database) for stylized characters <ref>Aneja, Deepali, et al. "Learning to generate 3D stylized character expressions from humans." 2018 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE, 2018.</ref> [http://grail.cs.washington.edu/projects/deepexpr/ferg-3d-db.html download]

|angry, disgust, fear, joy, neutral, sad, surprise

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|Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) <ref>Livingstone & Russo (2018). The Ryerson Audio-Visual Database of

Emotional Speech and Song (RAVDESS): A dynamic, multimodal set of facial and vocal expressions in North American English. {{doi|10.1371/journal.pone.0196391

}}</ref>

}}</ref> [https://doi.org/10.5281/zenodo.1188976 download]

|Speech: Calm, happy, sad, angry, fearful, surprise, disgust, and neutral.

Song: Calm, happy, sad, angry, fearful, and neutral.

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|Posed

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|Extended Cohn-Kanade Dataset (CK+)<ref>P. Lucey, J. F. Cohn, T. Kanade, J. Saragih, Z. Ambadar and I. Matthews, "The Extended Cohn-Kanade Dataset (CK+): A complete facial expression dataset for action unit and emotion-specified expression," in ''3rd IEEE Workshop on CVPR for Human Communicative Behavior Analysis'', 2010</ref> [http://www.jeffcohn.net/wp-content/uploads/2020/04/CK-AgreementForm.pdf download]

|neutral, sadness, surprise, happiness, fear, anger, contempt and disgust

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|Posed; spontaneous smiles

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|Japanese Female Facial Expressions (JAFFE)<ref>{{Cite book | doi=10.5281/zenodo.3451524| year=1998| last1=Lyons| first1=Michael| title=The Japanese Female Facial Expression (JAFFE) Database| last2=Kamachi| first2=Miyuki| last3=Gyoba| first3=Jiro}}</ref> [https://doi.org/10.5281/zenodo.3451524 download]

|neutral, sadness, surprise, happiness, fear, anger, and disgust

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|Posed

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|MMI Database<ref>M. Valstar and M. Pantic, "Induced disgust, happiness and surprise: an addition to the MMI facial expression database," in ''Proc. Int. Conf. Language Resources and Evaluation'', 2010</ref> [http://mmifacedb.eu/ download]

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|Posed and Spontaneous

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| rowspan="3" |Belfast Database<ref>I. Sneddon, M. McRorie, G. McKeown and J. Hanratty, "The Belfast induced natural emotion database," ''IEEE Trans. Affective Computing,'' vol. 3, no. 1, pp. 32-41, 2012</ref> [http://belfast-naturalistic-db.sspnet.eu/ download]

|Set 1 (disgust, fear, amusement, frustration, surprise)

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|iSAFE (Indian Semi-Acted Facial Expression Database)<ref>{{Cite journal|last=Singh|first=Shivendra|last2=Benedict|first2=Shajulin|date=2020|editor-last=Thampi|editor-first=Sabu M.|editor2-last=Hegde|editor2-first=Rajesh M.|editor3-last=Krishnan|editor3-first=Sri|editor4-last=Mukhopadhyay|editor4-first=Jayanta|editor5-last=Chaudhary|editor5-first=Vipin|editor6-last=Marques|editor6-first=Oge|editor7-last=Piramuthu|editor7-first=Selwyn|editor8-last=Corchado|editor8-first=Juan M.|title=Indian Semi-Acted Facial Expression (iSAFE) Dataset for Human Emotions Recognition|url=https://link.springer.com/chapter/10.1007/978-981-15-4828-4_13|journal=Advances in Signal Processing and Intelligent Recognition Systems|series=Communications in Computer and Information Science|language=en|___location=Singapore|publisher=Springer|pages=150–162|doi=10.1007/978-981-15-4828-4_13|isbn=978-981-15-4828-4}}</ref> [https://github.com/shivendra2015iiit/Indian-Semi-Acted-Facial-Expression-Database-iSAFE-/blob/master/README.md download]

|Happy, Sad, Fear, Surprise, Angry, Neutral, Disgust

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|Spontaneous

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|DISFA<ref>S. M. Mavadati, M. H. Mahoor, K. Bartlett, P. Trinh and J. Cohn., "DISFA: A Spontaneous Facial Action Intensity Database," ''IEEE Trans. Affective Computing,'' vol. 4, no. 2, pp. 151–160, 2013</ref> [https://web.archive.org/web/20151024114056/http://www.engr.du.edu/mmahoor/DISFA.htm download]

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|Multimedia Understanding Group (MUG)<ref>N. Aifanti, C. Papachristou and A. Delopoulos, The MUG Facial Expression Database, in Proc. 11th Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), Desenzano, Italy, April 12–14, 2010.</ref> [http://mug.ee.auth.gr/fed/ download]

|neutral, sadness, surprise, happiness, fear, anger, and disgust

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2016, {{doi|10.1109/TAFFC.2015.2498174}}.

</ref>

</ref> [https://sites.google.com/site/iseddatabase/ download]

|sadness, surprise,&nbsp;happiness, and disgust

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|Spontaneous

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|Radboud Faces Database (RaFD)<ref>Langner, O., Dotsch, R., Bijlstra, G., Wigboldus, D.H.J., Hawk, S.T., & van Knippenberg, A. (2010). Presentation and validation of the Radboud Faces Database. Cognition & Emotion, 24(8), 1377—1388. {{doi|10.1080/02699930903485076}}</ref> [http://www.socsci.ru.nl:8180/RaFD2/RaFD download]

|neutral, sadness,&nbsp;contempt, surprise,&nbsp;happiness, fear, anger, and disgust

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|Posed

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|Oulu-CASIA NIR-VIS database [http://www.cse.oulu.fi/wsgi/CMV/Downloads/Oulu-CASIA download]

|surprise, happiness, sadness, anger, fear and disgust

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|Frontal pose

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|[http://mohammadmahoor.com/affectnet/ AffectNet]<ref>{{Cite journal|last=Mollahosseini|first=A.|last2=Hasani|first2=B.|last3=Mahoor|first3=M. H.|date=2017|title=AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild|journal=IEEE Transactions on Affective Computing|volume=PP|issue=99|pages=18–31|doi=10.1109/TAFFC.2017.2740923|issn=1949-3045|arxiv=1708.03985}}</ref>

|neutral, happy, sad, surprise, fear, disgust, anger, contempt

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|Wild setting

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|[http://app.visgraf.impa.br/database/faces/ IMPA-FACE3D]<ref>{{Cite web|url=http://app.visgraf.impa.br/database/faces/documents/|title=IMPA-FACE3D Technical Reports|website=visgraf.impa.br|access-date=2018-03-08}}</ref>

|neutral frontal, joy, sadness, surprise, anger, disgust, fear, opened, closed, kiss, left side, right side, neutral sagittal left, neutral sagittal right, nape and forehead (acquired sometimes)

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|Posed

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|'''[https://fei.edu.br/~cet/facedatabase.html FEI Face Database]'''

|neutral,smile

|200

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|Posed

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|[https://ibug.doc.ic.ac.uk/resources/first-affect-wild-challenge/ Aff-Wild]<ref>{{Cite journal|last=Zafeiriou|first=S.|last2=Kollias|first2=D.|last3=Nicolaou|first3=M.A.|last4=Papaioannou|first4=A.|last5=Zhao|first5=G.|last6=Kotsia|first6=I.|date=2017|title=Aff-Wild: Valence and Arousal in-the-wild Challenge|url=http://openaccess.thecvf.com/content_cvpr_2017_workshops/w33/papers/Zafeiriou_Aff-Wild_Valence_and_CVPR_2017_paper.pdf|journal=Computer Vision and Pattern Recognition Workshops (CVPRW), 2017}}</ref> <ref>{{Cite journal|last=Kollias|first=D.|last2=Tzirakis|first2=P.|last3=Nicolaou|first3=M.A.|last4=Papaioannou|first4=A.|last5=Zhao|first5=G.|last6=Schuller|first6=B.|last7=Kotsia|first7=I.|last8=Zafeiriou|first8=S.|date=2019|title=Deep Affect Prediction in-the-wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond|url=https://rdcu.be/bmGm2|journal=International Journal of Computer Vision (IJCV), 2019}}</ref>

|valence and arousal

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|In-the-Wild setting

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|[https://ibug.doc.ic.ac.uk/resources/fg-2020-competition-affective-behavior-analysis/ Aff-Wild2]<ref>{{Cite journal|last=Kollias|first=D.|last2=Zafeiriou|first2=S.|date=2019|title=Expression, affect, action unit recognition: Aff-wild2, multi-task learning and arcface|url=https://bmvc2019.org/wp-content/uploads/papers/0399-paper.pdf|journal=British Machine Vision Conference (BMVC), 2019}}</ref> <ref>{{Cite journal|last=Kollias|first=D.|last2=Schulc|first2=A.|last3=Hajiyev|first3=E.|last4=Zafeiriou|first4=S.|date=2020|title=Analysing affective behavior in the first abaw 2020 competition|url=https://www.computer.org/csdl/proceedings-article/fg/2020/307900a794/1kecIYu9wL6|journal=IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2020}}</ref>

|neutral, happiness, sadness, surprise, fear, disgust, anger + valence-arousal + action units 1,2,4,6,12,15,20,25

|458