Variations in illumination can have a dramatic effect on the appearance of an object in an image. In this paper we propose how to deal with illumination variations in eigenspace methods. We demonstrate that the eigenimages obtained by a training set under a single illumination condition (ambient light) can be used for recognition of objects taken under different illumination conditions. The major idea is to incorporate a set of gradient based filter banks into the eigenspace recognition framework. This can be achieved since the eigenimage coefficients are invariant for linearly filtered images (input and eigenimages). To achieve further illumination insensitivity we devised a robust procedure for coefficient recovery. The proposed approach has been extensively evaluated on a set of 2160 images and the results were compared to other approaches.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Illumination insensitive eigenspaces


    Contributors:


    Publication date :

    2001-01-01


    Size :

    633663 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Illumination Insensitive Eigenspaces

    Bischof, H. / Wildenauer, H. / Leonardis, A. et al. | British Library Conference Proceedings | 2001


    Illumination insensitive recognition using eigenspaces

    Bischof, H. / Wildenauer, H. / Leonardis, A. | British Library Online Contents | 2004


    Pose Estimation Using 3D View-Based Eigenspaces

    Morency, L.-P. / Sundberg, P. / Darrell, T. et al. | British Library Conference Proceedings | 2003


    Interpolation Between Eigenspaces Using Rotation in Multiple Dimensions

    Takahashi, Tomokazu / Lina / Ide, Ichiro et al. | Springer Verlag | 2007


    View-based and modular eigenspaces for face recognition

    Pentland / Moghaddam / Starner | IEEE | 1994