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    Symmetric Photography: Exploiting Data-sparseness in Reflectance Fields

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    Date
    2006
    Author
    Garg, Gaurav
    Talvala, Eino-Ville
    Levoy, Marc
    Lensch, Hendrik P. A.
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    Abstract
    We present a novel technique called symmetric photography to capture real world reflectance fields. The technique models the 8D reflectance field as a transport matrix between the 4D incident light field and the 4D exitant light field. It is a challenging task to acquire this transport matrix due to its large size. Fortunately, the transport matrix is symmetric and often data-sparse. Symmetry enables us to measure the light transport from two sides simultaneously, from the illumination directions and the view directions. Data-sparseness refers to the fact that sub-blocks of the matrix can be well approximated using low-rank representations. We introduce the use of hierarchical tensors as the underlying data structure to capture this data-sparseness, specifically through local rank-1 factorizations of the transport matrix. Besides providing an efficient representation for storage, it enables fast acquisition of the approximated transport matrix and fast rendering of images from the captured matrix. Our prototype acquisition system consists of an array of mirrors and a pair of coaxial projector and camera.We demonstrate the effectiveness of our system with scenes rendered from reflectance fields that were captured by our system. In these renderings we can change the viewpoint as well as relight using arbitrary incident light fields.
    BibTeX
    @inproceedings {10.2312:EGWR:EGSR06:251-262,
    booktitle = {Symposium on Rendering},
    editor = {Tomas Akenine-Moeller and Wolfgang Heidrich},
    title = {{Symmetric Photography: Exploiting Data-sparseness in Reflectance Fields}},
    author = {Garg, Gaurav and Talvala, Eino-Ville and Levoy, Marc and Lensch, Hendrik P. A.},
    year = {2006},
    publisher = {The Eurographics Association},
    ISSN = {1727-3463},
    ISBN = {3-905673-35-5},
    DOI = {10.2312/EGWR/EGSR06/251-262}
    }
    URI
    http://dx.doi.org/10.2312/EGWR/EGSR06/251-262
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    Eurographics Association copyright © 2013 - 2023 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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