Expressive Deformation Profiles for Cross Expression Face Recognition

Li Zhang, Ning Ye, Elisa Martinez Marroquin, Terence Sim

    Research output: A Conference proceeding or a Chapter in BookConference contribution

    1 Citation (Scopus)

    Abstract

    Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion separately. This is significantly different from the traditional approaches where temporal consistency is hardly used and motion and deformation are mixed. We conduct our experiments on Cohn-Canade database and the experimental results demonstrate the improvement of the proposal in terms of both accuracy and efficiency. We are pushing the state-of-the-art cross expression based face recognition in this paper
    Original languageEnglish
    Title of host publicationProceedings of International Conference on Pattern Recognition
    Place of PublicationTokyo, Japan
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1582-1585
    Number of pages4
    ISBN (Print)9784990644109
    Publication statusPublished - 2012
    Event21st International Conference on Pattern Recognition (ICPR 2012) - Tsukuba, Tsukuba, Japan
    Duration: 11 Nov 201215 Nov 2012

    Conference

    Conference21st International Conference on Pattern Recognition (ICPR 2012)
    Abbreviated titleICPR 2012
    CountryJapan
    CityTsukuba
    Period11/11/1215/11/12

    Fingerprint

    Face recognition
    Experiments

    Cite this

    Zhang, L., Ye, N., Martinez Marroquin, E., & Sim, T. (2012). Expressive Deformation Profiles for Cross Expression Face Recognition. In Proceedings of International Conference on Pattern Recognition (pp. 1582-1585). Tokyo, Japan: IEEE, Institute of Electrical and Electronics Engineers.
    Zhang, Li ; Ye, Ning ; Martinez Marroquin, Elisa ; Sim, Terence. / Expressive Deformation Profiles for Cross Expression Face Recognition. Proceedings of International Conference on Pattern Recognition. Tokyo, Japan : IEEE, Institute of Electrical and Electronics Engineers, 2012. pp. 1582-1585
    @inproceedings{75826158ac274ebfbf0051884ffe4e0c,
    title = "Expressive Deformation Profiles for Cross Expression Face Recognition",
    abstract = "Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion separately. This is significantly different from the traditional approaches where temporal consistency is hardly used and motion and deformation are mixed. We conduct our experiments on Cohn-Canade database and the experimental results demonstrate the improvement of the proposal in terms of both accuracy and efficiency. We are pushing the state-of-the-art cross expression based face recognition in this paper",
    author = "Li Zhang and Ning Ye and {Martinez Marroquin}, Elisa and Terence Sim",
    year = "2012",
    language = "English",
    isbn = "9784990644109",
    pages = "1582--1585",
    booktitle = "Proceedings of International Conference on Pattern Recognition",
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    Zhang, L, Ye, N, Martinez Marroquin, E & Sim, T 2012, Expressive Deformation Profiles for Cross Expression Face Recognition. in Proceedings of International Conference on Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, Tokyo, Japan, pp. 1582-1585, 21st International Conference on Pattern Recognition (ICPR 2012), Tsukuba, Japan, 11/11/12.

    Expressive Deformation Profiles for Cross Expression Face Recognition. / Zhang, Li; Ye, Ning; Martinez Marroquin, Elisa; Sim, Terence.

    Proceedings of International Conference on Pattern Recognition. Tokyo, Japan : IEEE, Institute of Electrical and Electronics Engineers, 2012. p. 1582-1585.

    Research output: A Conference proceeding or a Chapter in BookConference contribution

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    T1 - Expressive Deformation Profiles for Cross Expression Face Recognition

    AU - Zhang, Li

    AU - Ye, Ning

    AU - Martinez Marroquin, Elisa

    AU - Sim, Terence

    PY - 2012

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    N2 - Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion separately. This is significantly different from the traditional approaches where temporal consistency is hardly used and motion and deformation are mixed. We conduct our experiments on Cohn-Canade database and the experimental results demonstrate the improvement of the proposal in terms of both accuracy and efficiency. We are pushing the state-of-the-art cross expression based face recognition in this paper

    AB - Expression based face recognition has been gaining more and more attentions recently. Most traditional expression based face recognition can perform recognition where the probe and gallery have same expressions. In this paper, we propose to use different expressions for recognition. Our proposal exploits the temporal order in the video and extracts the identity signature from deformation and motion separately. This is significantly different from the traditional approaches where temporal consistency is hardly used and motion and deformation are mixed. We conduct our experiments on Cohn-Canade database and the experimental results demonstrate the improvement of the proposal in terms of both accuracy and efficiency. We are pushing the state-of-the-art cross expression based face recognition in this paper

    M3 - Conference contribution

    SN - 9784990644109

    SP - 1582

    EP - 1585

    BT - Proceedings of International Conference on Pattern Recognition

    PB - IEEE, Institute of Electrical and Electronics Engineers

    CY - Tokyo, Japan

    ER -

    Zhang L, Ye N, Martinez Marroquin E, Sim T. Expressive Deformation Profiles for Cross Expression Face Recognition. In Proceedings of International Conference on Pattern Recognition. Tokyo, Japan: IEEE, Institute of Electrical and Electronics Engineers. 2012. p. 1582-1585