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Geometry Compression of Normal Meshes using Rate-Distortion Algorithms

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Title: Geometry Compression of Normal Meshes using Rate-Distortion Algorithms
Author: Lavu, Sridhar; Choi, Hyeokho; Baraniuk, Richard G.
Type: Conference Paper
Keywords: Normal meshes; estimation-qunatization; geometry compression
Citation: S. Lavu, H. Choi and R. G. Baraniuk,"Geometry Compression of Normal Meshes using Rate-Distortion Algorithms," in Eurographics Symposium on Geometry Processing,
Abstract: We propose a new rate-distortion based algorithm for compressing 3D surface geometry represented using triangular normal meshes. We apply the Estimation-Quantization (EQ) algorithm to compress normal mesh wavelet coefficients. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation that depends on the local neighborhood and uses rate-distortion optimal scalar quantizers. We achieve gains of 0.5 to 1 dB with the EQ algorithm compared to the recently proposed zerotree compression for normal meshes.
Date Published: 2003-06-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.