The first facial expression recognition and analysis challenge

Michel F. Valstar, Bihan Jiang, Marc Mehu, Maja Pantic, Klaus Scherer

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    220 Citations (Scopus)


    Automatic Facial Expression Recognition and Analysis, in particular FACS Action Unit (AU) detection and discrete emotion detection, has been an active topic in computer science for over two decades. Standardisation and comparability has come some way; for instance, there exist a number of commonly used facial expression databases. However, lack of a common evaluation protocol and lack of sufficient details to reproduce the reported individual results make it difficult to compare systems to each other. This in turn hinders the progress of the field. A periodical challenge in Facial Expression Recognition and Analysis would allow this comparison in a fair manner. It would clarify how far the field has come, and would allow us to identify new goals, challenges and targets. In this paper we present the first challenge in automatic recognition of facial expressions to be held during the IEEE conference on Face and Gesture Recognition 2011, in Santa Barbara, California. Two sub-challenges are defined: one on AU detection and another on discrete emotion detection. It outlines the evaluation protocol, the data used, and the results of a baseline method for the two sub-challenges.
    Original languageUndefined
    Title of host publicationIEEE International Conference on Automatic Face & Gesture Recognition and Workshops (FG 2011)
    Place of PublicationUSA
    PublisherIEEE Computer Society
    Number of pages6
    ISBN (Print)978-1-4244-9140-7
    Publication statusPublished - Mar 2011
    Event9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011 - Santa Barbara, United States
    Duration: 21 Mar 201125 Mar 2011
    Conference number: 9

    Publication series

    PublisherIEEE Computer Society


    Conference9th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2011
    Abbreviated titleFG
    CountryUnited States
    CitySanta Barbara


    • METIS-285057
    • IR-79514
    • Face Recognition
    • Gold
    • Databases
    • EWI-21379
    • Emotion Recognition
    • Histograms
    • Training
    • EC Grant Agreement nr.: FP7/231287
    • Videos

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