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    Signal-Specialized Parameterization for Piecewise Linear Reconstruction

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    057-066.pdf (3.303Mb)
    Date
    2004
    Author
    Tewari, Geetika
    Snyder, John
    Sander, Pedro V.
    Gortler, Steven J.
    Hoppe, Hugues
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    Abstract
    We propose a metric for surface parameterization specialized to its signal that can be used to create more efficient, high-quality texture maps. Derived from Taylor expansion of signal error, our metric predicts the signal approximation error - the difference between the original surface signal and its reconstruction from the sampled texture. Unlike previous methods, our metric assumes piecewise-linear reconstruction, and thus makes a good approximation to bilinear reconstruction employed in graphics hardware. We achieve significant savings in texture area for a desired signal accuracy compared to the signal-specialized parameterization metric proposed by Sander et al. in the 2002 Eurographics Workshop on Rendering.
    BibTeX
    @inproceedings {10.2312:SGP:SGP04:057-066,
    booktitle = {Symposium on Geometry Processing},
    editor = {Roberto Scopigno and Denis Zorin},
    title = {{Signal-Specialized Parameterization for Piecewise Linear Reconstruction}},
    author = {Tewari, Geetika and Snyder, John and Sander, Pedro V. and Gortler, Steven J. and Hoppe, Hugues},
    year = {2004},
    publisher = {The Eurographics Association},
    ISSN = {1727-8384},
    ISBN = {3-905673-13-4},
    DOI = {10.2312/SGP/SGP04/057-066}
    }
    URI
    http://dx.doi.org/10.2312/SGP/SGP04/057-066
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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.
    TUGFhA