To create a pose-invariant face recognizer, one strategy is the view-based approach, which uses a set of real example views at different poses. But what if we only have one real view available, such as a scanned passport photo-can we still recognize faces under different poses? Given one real view at a known pose, it is still possible to use the view-based approach by exploiting prior knowledge of faces to generate virtual views, or views of the face as seen from different poses. To represent prior knowledge, we use 2D example views of prototype faces under different rotations. We develop example-based techniques for applying the rotation seen in the prototypes to essentially "rotate" the single real view which is available. Next, the combined set of one real and multiple virtual views is used as example views for a view-based, pose-invariant face recognizer. Oar experiments suggest that among the techniques for expressing prior knowledge of faces, 2D example-based approaches should be considered alongside the more standard 3D modeling techniques.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Face recognition from one example view


    Contributors:
    Beymer, D. (author) / Poggio, T. (author)


    Publication date :

    1995-01-01


    Size :

    1085655 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Face Recognition from One Example View

    Beymer, D. / Poggio, T. / IEEE Computer Society et al. | British Library Conference Proceedings | 1995


    Robust Multi-Camera View Face Recognition

    Kisku, D.R. / Mehrotra, H. / Gupta, P. et al. | British Library Online Contents | 2011


    Robust Multi-Camera View Face Recognition

    Kisku, Dakshina R. / Mehrotra, Hunny / Gupta, Phalguni et al. | British Library Online Contents | 2011


    View-Based and Modular Eigenspaces for Face Recognition

    Pentland, A. / Moghaddam, B. / Starner, T. et al. | British Library Conference Proceedings | 1994


    Multi-view face recognition from single RGBD models of the faces

    Kim, Donghun / Comandur, Bharath / Medeiros, Henry et al. | British Library Online Contents | 2017