The paper presents a view-invariant face detection method based on local PCA cells. In order to extract the general features of faces at each view and position, Gabor filters and local PCA are used. Local PCA cells specialized to each view and position are made by applying a Gaussian to the outputs of the local PCA of Gabor features. By applying the Gaussian, only the local PCA cells which are a similar view to an input give large values. This decreases the bad influence of the local PCA cells of other views. As a result, only one classifier can treat multi-view faces well by integrating the outputs of local PCA cells. It is confirmed that the proposed method can detect multi-view faces. Generalization ability is improved by selecting the local PCA cells using a reconstruction error of local PCA.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    View-invariant face detection method based on local PCA cells


    Beteiligte:
    Hotta, K. (Autor:in)


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    385390 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    View-Invariant Face Detection Method Based on Local PCA Cells

    Hotta, K. / IEEE | British Library Conference Proceedings | 2003


    Vector Boosting for Rotation Invariant Multi-View Face Detection

    Huang, C. / Ai, H. / Li, Y. et al. | British Library Conference Proceedings | 2005


    Vector boosting for rotation invariant multi-view face detection

    Chang Huang, / Haizhou Ai, / Yuan Li, et al. | IEEE | 2005


    Pose invariant face detection

    Manoj Seshadrinathan, / Ben-Arie, J. | IEEE | 2003


    Pose Invariant Face Detection

    Seshadrinathan, M. / Ben-Arie, J. / IEEE et al. | British Library Conference Proceedings | 2003