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3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm

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Title: 3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm
Author: Lavu, Sridhar
Type: Masters Thesis
Keywords: 3D geometry; normal meshes; EQ coder; geometry processing
Citation: S. Lavu, "3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm," Masters Thesis, 2002.
Abstract: 3D surfaces are used in applications such as animations, 3D object modeling and visualization. The geometries of such surfaces are often approximated using polygonal meshes. This thesis aims to compress 3D geometry meshes by using an algorithm based on normal meshes and the Estimation-Quantization (EQ) algorithm. Normal meshes are multilevel representations where finer level vertices lie in a direction normal to the local surface and therefore compress the vertex data to one scalar value per vertex. A mixture distribution model is used for the wavelet coefficients. The EQ algorithm uses the local neighborhood information and Rate-Distortion optimization to encode the wavelet coefficients. We achieve performance gains of 0.5-1dB compared to the zerotree coder for normal meshes.
Date Published: 2002-09-01

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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.