In this paper we present results of an automated system for generating 3D avatars from one or more photographs. We are motivated by the need to support pose and lighting correction for invariant facial identification. Our approach is to extend techniques from the now well established Computational Anatomy field to accommodate the projective geometry associated with video imagery. We present the general Compuational Anatomy framework, describe its merger with and application to the projective geometry setting, and present validation results on FRGC EXP 1.0.1, FRGC EXP 1.0.4, and FERET databases. In particular, we find sub-degree bias in rigid motion accuracy for avatar generation, and 1/20 eye distance average errors in feature landmark accuracy.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Computational Anatomy for Generating 3D Avatars and Boosting Face Recognition Systems


    Beteiligte:
    Vaillant, M. (Autor:in) / Zang, G. (Autor:in) / Aliperti, J. (Autor:in) / Santhanam, N. (Autor:in) / Doucette, S. (Autor:in) / Hoffman, B. (Autor:in) / Miller, M.I. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    451628 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Boosting for Fast Face Recognition

    Guo, G.-D. / Zhang, H.-J. / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2001


    Face Recognition with MRC-Boosting

    Xu, X. / Huang, T. / IEEE | British Library Conference Proceedings | 2005


    Boosting for fast face recognition

    Guo-Dong Guo, / Hong-Jiang Zhang, | IEEE | 2001


    Face recognition with MRC-boosting

    Xun Xu, / Huang, T.S. | IEEE | 2005


    Boosting Multi-gabor Subspaces for Face Recognition

    Liu, Q. / Jin, H. / Tang, X. et al. | British Library Conference Proceedings | 2006