We propose a variational algorithm to jointly estimate the shape, albedo, and light configuration of a Lambertian scene from a collection of images taken from different vantage points. Our work can be thought of as extending classical multi-view stereo to cases where point correspondence cannot be established, or extending classical shape from shading to the case of multiple views with unknown light sources. We show that a first naive formalization of this problem yields algorithms that are numerically unstable, no matter how close the initialization is to the true geometry. We then propose a computational scheme to overcome this problem, resulting in provably stable algorithms that converge to (local) minima of the cost functional. Although we restrict our attention to Lambertian objects with uniform albedo, extensions of our framework are conceivable.


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    Titel :

    Shedding light on stereoscopic segmentation


    Beteiligte:
    Hailin Jin, (Autor:in) / Cremers, D. (Autor:in) / Yezzi, A.J. (Autor:in) / Soatto, S. (Autor:in)


    Erscheinungsdatum :

    01.01.2004


    Format / Umfang :

    506441 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Shedding Light on Stereoscopic Segmentation

    Jin, H. / Cremers, D. / Yezzi, A. et al. | British Library Conference Proceedings | 2004


    Stereoscopic Segmentation

    Yezzi, A. / Soatto, S. / IEEE | British Library Conference Proceedings | 2001


    Stereoscopic segmentation

    Yezzi, A.J. / Soatto, S. | IEEE | 2001


    Stereoscopic Segmentation

    Yezzi, A. / Soatto, S. | British Library Online Contents | 2003


    Shedding new light

    Online Contents | 2005