Lavu, SridharChoi, HyeokhoBaraniuk, RichardLeif Kobbelt and Peter Schroeder and Hugues Hoppe2014-01-292014-01-2920033-905673-06-11727-8384https://doi.org/10.2312/SGP/SGP03/052-061We 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