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A Survey on Databases of Facial Macro-expression and Micro-expression

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Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 997))

Abstract

A crucial step for developing and testing a system of facial expression analysis is to choose the database which suits best the targeted context application. We propose in this paper a survey based on the review of 69 databases, taking into account both macro- and micro-expressions. To the best of our knowledge, there are no other surveys with so many databases. We review the existing facial expression databases according to 18 characteristics grouped in 6 categories (population, modalities, data acquisition hardware, experimental conditions, experimental protocol and annotations). These characteristics are meant to be helpful for researchers when they are choosing a database which suits their context application. We bring to light the trends between posed, spontaneous and in-the-wild databases, as well as micro-expression databases. We finish with future directions, including crowd sourcing and databases with groups of people.

Supported by China Scholarship Council and ANR French Reflet (AAP Generique 2017).

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Authors and Affiliations

  1. FAST Team, IETR Lab., CentraleSupelec, Avenue de la Boulaie, 35576, Cesson-Sévigné, France

    Raphaël Weber, Jingting Li, Catherine Soladié & Renaud Séguier

  2. Univ. Rennes, LTSI - UMR_S 1099, 35000, Rennes, France

    Raphaël Weber

  3. INSERM, U1099, 35000, Rennes, France

    Raphaël Weber

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  1. Raphaël Weber
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  2. Jingting Li
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  3. Catherine Soladié
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  4. Renaud Séguier
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Correspondence to Raphaël Weber .

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Editors and Affiliations

  1. University of Strasbourg, Strasbourg, France

    Dominique Bechmann

  2. University of Genoa, Genoa, Italy

    Manuela Chessa

  3. University of Lisbon, Lisbon, Portugal

    Ana Paula Cláudio

  4. Research Innovation Center, Apple Inc., San Jose, CA, USA

    Francisco Imai

  5. Linnaeus University, Växjö, Kronobergs Län, Sweden

    Andreas Kerren

  6. LISA - ISTIA, University of Angers, Angers, France

    Paul Richard

  7. University of Groningen, Groningen, The Netherlands

    Alexandru Telea

  8. Jean Monnet University, Saint-Etienne, France

    Alain Tremeau

Appendix

Appendix

For a purpose of clarity, the references are not included in the tables of Sect. 2. We report here the corresponding references to all the databases we review (Tables 12 and 13).

Table 12. References of macro-expression databases.
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Table 13. References of micro-expression databases.
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Weber, R., Li, J., Soladié, C., Séguier, R. (2019). A Survey on Databases of Facial Macro-expression and Micro-expression. In: Bechmann, D., et al. Computer Vision, Imaging and Computer Graphics Theory and Applications. VISIGRAPP 2018. Communications in Computer and Information Science, vol 997. Springer, Cham. https://doi.org/10.1007/978-3-030-26756-8_15

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