View-constrained latent variable model for multi-view facial expression classification

Stefanos Eleftheriadis, Ognjen Rudovic, Maja Pantic

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

    5 Citations (Scopus)
    3 Downloads (Pure)

    Abstract

    We propose a view-constrained latent variable model for multi-view facial expression classification. In this model, we first learn a discriminative manifold shared by multiple views of facial expressions, followed by the expression classification in the shared manifold. For learning, we use the expression data from multiple views, however, the inference is performed using the data from a single view. Our experiments on data of posed and spontaneously displayed facial expressions show that the proposed approach outperforms the state-of-the-art methods for multi-view facial expression classification, and several state-of-the-art methods for multi-view learning.
    Original languageEnglish
    Title of host publicationAdvances in Visual Computing
    Subtitle of host publication10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings
    EditorsGeorge Bebis, Richard Boyle, Bahram Parvin, Darko Koracin
    Place of PublicationCham
    PublisherSpringer
    Pages292-303
    Number of pages12
    VolumePart II
    ISBN (Electronic)978-3-319-14364-4
    ISBN (Print)978-3-319-14363-7
    DOIs
    Publication statusPublished - Dec 2014
    Event10th International Symposium on Visual Computing, ISVC 2014 - Las Vegas, United States
    Duration: 8 Dec 201410 Dec 2014
    Conference number: 10

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer
    Volume8888
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Symposium on Visual Computing, ISVC 2014
    Abbreviated titleISVC
    CountryUnited States
    CityLas Vegas
    Period8/12/1410/12/14

    Keywords

    • HMI-HF: Human Factors
    • EWI-25810
    • METIS-309929
    • EC Grant Agreement nr.: FP7/2007-2013
    • IR-94677
    • EC Grant Agreement nr.: FP7/611153

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  • Cite this

    Eleftheriadis, S., Rudovic, O., & Pantic, M. (2014). View-constrained latent variable model for multi-view facial expression classification. In G. Bebis, R. Boyle, B. Parvin, & D. Koracin (Eds.), Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings (Vol. Part II, pp. 292-303). (Lecture Notes in Computer Science; Vol. 8888). Cham: Springer. https://doi.org/10.1007/978-3-319-14364-4_28