Facial recognition using new LBP representations

Alireza Akoushideh, Raymond N.J. Veldhuis, Lieuwe Jan Spreeuwers, Babak M.-N. Maybodi

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    30 Downloads (Pure)

    Abstract

    In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.
    Original languageUndefined
    Title of host publicationProceedings of the 36th WIC Symposium on Information Theory in the Benelux
    Place of PublicationBrussels
    PublisherUniversité Libre de Bruxelles
    Pages34-41
    Number of pages8
    ISBN (Print)978-2-8052-0277-3
    Publication statusPublished - 6 May 2015
    Event36th WIC Symposium on Information Theory in the Benelux 2015 - Brussels, Belgium
    Duration: 6 May 20157 May 2015
    Conference number: 36

    Publication series

    Name
    PublisherUniversité libre de Bruxelles

    Workshop

    Workshop36th WIC Symposium on Information Theory in the Benelux 2015
    CountryBelgium
    CityBrussels
    Period6/05/157/05/15

    Keywords

    • EWI-26076
    • SCS-Safety
    • Biometrics
    • IR-96057
    • Local Binary Patterns
    • METIS-312634
    • Face Recognition

    Cite this

    Akoushideh, A., Veldhuis, R. N. J., Spreeuwers, L. J., & Maybodi, B. M-N. (2015). Facial recognition using new LBP representations. In Proceedings of the 36th WIC Symposium on Information Theory in the Benelux (pp. 34-41). Brussels: Université Libre de Bruxelles.
    Akoushideh, Alireza ; Veldhuis, Raymond N.J. ; Spreeuwers, Lieuwe Jan ; Maybodi, Babak M.-N. / Facial recognition using new LBP representations. Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels : Université Libre de Bruxelles, 2015. pp. 34-41
    @inproceedings{dcfd85ed0ba14826a962dfc73e55f4ca,
    title = "Facial recognition using new LBP representations",
    abstract = "In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.",
    keywords = "EWI-26076, SCS-Safety, Biometrics, IR-96057, Local Binary Patterns, METIS-312634, Face Recognition",
    author = "Alireza Akoushideh and Veldhuis, {Raymond N.J.} and Spreeuwers, {Lieuwe Jan} and Maybodi, {Babak M.-N.}",
    year = "2015",
    month = "5",
    day = "6",
    language = "Undefined",
    isbn = "978-2-8052-0277-3",
    publisher = "Universit{\'e} Libre de Bruxelles",
    pages = "34--41",
    booktitle = "Proceedings of the 36th WIC Symposium on Information Theory in the Benelux",

    }

    Akoushideh, A, Veldhuis, RNJ, Spreeuwers, LJ & Maybodi, BM-N 2015, Facial recognition using new LBP representations. in Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Université Libre de Bruxelles, Brussels, pp. 34-41, 36th WIC Symposium on Information Theory in the Benelux 2015, Brussels, Belgium, 6/05/15.

    Facial recognition using new LBP representations. / Akoushideh, Alireza; Veldhuis, Raymond N.J.; Spreeuwers, Lieuwe Jan; Maybodi, Babak M.-N.

    Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels : Université Libre de Bruxelles, 2015. p. 34-41.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

    TY - GEN

    T1 - Facial recognition using new LBP representations

    AU - Akoushideh, Alireza

    AU - Veldhuis, Raymond N.J.

    AU - Spreeuwers, Lieuwe Jan

    AU - Maybodi, Babak M.-N.

    PY - 2015/5/6

    Y1 - 2015/5/6

    N2 - In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.

    AB - In this paper, we propose a facial recognition based on the LBP operator. We divide the face into non-overlapped regions. After that, we classify a training set using each region at a time under different configurations of the LBP operator. Regarding to the best recognition rate, we consider a weight and specific LBP configuration to the regions. To represent the face image, we extract LBP histograms with the specific configuration (radius and neighbors) and concatenate them into feature histogram. We propose a multi-resolution approach, to gather local and global information and improve the recognition rate. To evaluate our proposed approach, we considered the FERET data set, which includes different facial expressions, lighting, and aging of the subjects. In addition, weighted Chi-2 is considered as a dissimilarity measure. The experimental results show a considerable improvement against the original idea.

    KW - EWI-26076

    KW - SCS-Safety

    KW - Biometrics

    KW - IR-96057

    KW - Local Binary Patterns

    KW - METIS-312634

    KW - Face Recognition

    M3 - Conference contribution

    SN - 978-2-8052-0277-3

    SP - 34

    EP - 41

    BT - Proceedings of the 36th WIC Symposium on Information Theory in the Benelux

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    Akoushideh A, Veldhuis RNJ, Spreeuwers LJ, Maybodi BM-N. Facial recognition using new LBP representations. In Proceedings of the 36th WIC Symposium on Information Theory in the Benelux. Brussels: Université Libre de Bruxelles. 2015. p. 34-41