We consider the problem of estimating the shape and radiance of an object from a calibrated set of views under the assumption that the reflectance of the object is non-Lambertian. Unlike traditional stereo, we do not solve the correspondence problem by comparing image-to-image. Instead, we exploit a rank constraint on the radiance tensor field of the surface in space, and use it to define a discrepancy measure between each image and the underlying model. Our approach automatically returns an estimate of the radiance of the scene, along with its shape, represented by a dense surface. The former can be used to generate novel views that capture the non-Lambertian appearance of the scene.


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    Titel :

    Multi-view stereo beyond Lambert


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


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    1061866 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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