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Geometry Compression of Normal Meshes Using Rate-Distortion Algorithms (2008)

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. Categories and Subject Descriptors (according to ACM CCS): E.4 [Coding and Information Theory]: Data Compaction and Compression G.1.2 [Numerical Analysis]: Approximation- approximation of surfaces and contours, wavelets and fractals I.3.4 [Computer Graphics]: Computational Geometry and Object Modeling- hierarchy and geometric transformations 1.

Details der Publikation
Download http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.93.4584
Quelle http://www.dsp.rice.edu/~lavu/research/doc/lavuSGP2003.pdf
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Typ text
Sprache Englisch
Verknüpfungen 10.1.1.50.7313, 10.1.1.40.1708, 10.1.1.40.9307, 10.1.1.40.1627, 10.1.1.36.1085