Under in-plane rotations of a panoramic camera, the information content of a panoramic image is, in general, preserved. However, different representations that can be derived have important implications on further processing, e.g. for appearance-based localisation. We discuss several approaches based on different representations that have been proposed and evaluate them from different points-of-view, in particular, we argue that most of them are not suitable for robust localization under partially occluded views. In this paper we propose a representation-eigenspace of spinning-images-which enables a straightforward application of the robust estimation of eigenimage coefficients which is directly related to the localization.


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    Title :

    Robust localization using eigenspace of spinning-images


    Contributors:
    Jogan, M. (author) / Leonardis, A. (author)


    Publication date :

    2000-01-01


    Size :

    758412 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust Localization using Eigenspace of Spinning-Images

    Jogan, M. / Leonardis, A. / IEEE | British Library Conference Proceedings | 2000



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