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dc.contributor.authorLavu, Sridhar
dc.creatorLavu, Sridhar 2007-10-31T00:51:11Z 2007-10-31T00:51:11Z 2002-09-01 2002-10-21
dc.description Masters Thesis
dc.description.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.
dc.language.iso eng
dc.subject3D geometry
normal meshes
EQ coder
geometry processing
dc.subject.otherWavelet based Signal/Image Processing
Multiscale Methods
Multiscale geometry processing
dc.title 3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm
dc.type Thesis
dc.citation.bibtexName mastersthesis
dc.citation.journalTitle Masters Thesis 2004-04-08
dc.contributor.orgDigital Signal Processing (
dc.subject.keyword3D geometry
normal meshes
EQ coder
geometry processing Masters
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation S. Lavu, "3D Geometry Coding using Mixture Models and the Estimation Quantization Algorithm," Masters Thesis, 2002.

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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1225]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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