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    Estimation-Quantization Geometry Coding Using Normal Meshes

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    Author
    Lavu, Sridhar; Choi, Hyeokho; Baraniuk, Richard G.
    Date
    2003-03-29
    Abstract
    We propose a new algorithm for compressing three-dimensional triangular mesh data used for representing surfaces. We apply the Estimation-Quantization (EQ) algorithm originally designed for still image compression to the normal mesh wavelet coefficients. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation. By designing the quantizers in a rate-distortion optimal fashion, we improve upon the recently proposed zerotree normal mesh compression algorithm by 0.5 to 1 dB in distortion.
    Description
    Conference Paper
    Citation
    S. Lavu, H. Choi and R. G. Baraniuk, "Estimation-Quantization Geometry Coding Using Normal Meshes," 2003.
    Keyword
    Estimation-Quantization; Normal Meshes; 3D Geometry coding; Image Processing and Pattern analysis; Wavelet based Signal/Image Processing; More... Multiscale Methods; Signal Processing Applications; Multiscale geometry processing; Estimation-Quantization; Normal Meshes; 3D Geometry coding Less...
    Type
    Conference paper
    Citable link to this page
    https://hdl.handle.net/1911/20052
    Metadata
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    • DSP Publications [508]
    • ECE Publications [1442]

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    Managed by the Digital Scholarship Services at Fondren Library, Rice University
    Physical Address: 6100 Main Street, Houston, Texas 77005
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    Site Map