For years, researchers in face recognition area have been representing and recognizing faces based on subspace discriminant analysis or statistical learning. Nevertheless, these approaches are always suffering from the generalizability problem. This paper proposes a novel non-statistics based face representation approach, local Gabor binary pattern histogram sequence (LGBPHS), in which training procedure is unnecessary to construct the face model, so that the generalizability problem is naturally avoided. In this approach, a face image is modeled as a "histogram sequence" by concatenating the histograms of all the local regions of all the local Gabor magnitude binary pattern maps. For recognition, histogram intersection is used to measure the similarity of different LGBPHSs and the nearest neighborhood is exploited for final classification. Additionally, we have further proposed to assign different weights for each histogram piece when measuring two LGBPHSes. Our experimental results on AR and FERET face database show the validity of the proposed approach especially for partially occluded face images, and more impressively, we have achieved the best result on FERET face database.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Local Gabor binary pattern histogram sequence (LGBPHS): a novel non-statistical model for face representation and recognition


    Beteiligte:
    Wenchao Zhang, (Autor:in) / Shiguang Shan, (Autor:in) / Wen Gao, (Autor:in) / Xilin Chen, (Autor:in) / Hongming Zhang, (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    251355 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Local Gabor Binary Pattern Histogram Sequence (LGBPHS): A Novel Non-Statistical Model for Face Representation and Recognition

    Zhang, W. / Shan, S. / Gao, W. et al. | British Library Conference Proceedings | 2005


    An Automatic Face Recognition Using Local Binary Pattern Histogram (LBPH) Algorithm

    G, Elizabeth Rani / M, Sakthimohan / Raj, Maria Antony et al. | IEEE | 2023


    Modified Local Binary Pattern for Human Face Recognition Based on Sparse Representation

    Mawloud, Guermoui / Djame, Melaab | British Library Online Contents | 2014


    Modified Local Binary Pattern for Human Face Recognition based on Sparse Representation

    Mawloud, G. / Djamel, M. | British Library Online Contents | 2014


    3D face recognition based on local radial binary pattern

    Liu, Qing / Sun, Junhua | British Library Online Contents | 2015