Title :
Estimation-quantization geometry coding using normal meshes
Author :
Lavu, Sridhar ; Choi, Hyeokho ; Baraniuk, Richard
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
Abstract :
A new algorithm for compressing three-dimensional triangular mesh data was used for representing surfaces. The estimation-quantization (EQ) algorithm was applied. EQ was originally designed for still image compression to the normal mesh wavelet coefficient. The EQ algorithm models the wavelet coefficients as a Gaussian random field with slowly varying standard deviation. By designing the quantizers in a rate-distortion optimal fashion, the previously proposed zerotree normal mesh compression algorithm has improved distortion by 0.5 to 1 dB.
Keywords :
Gaussian processes; computer graphics; data compression; geometric codes; image coding; mesh generation; random processes; rate distortion theory; wavelet transforms; 0.5 to 1 dB; EQ geometry coding; Gaussian random field; estimation-quantization algorithm; image compression; normal mesh wavelet coefficient; normal triangular mesh data; quantizers; rate-distortion optimal design; standard variation; three-dimensional surface applications; zerotree normal mesh compression algorithm; Algorithm design and analysis; Animation; Compression algorithms; Data engineering; Image coding; Information geometry; Rate-distortion; Solid modeling; Spatial resolution; Wavelet coefficients;
Conference_Titel :
Data Compression Conference, 2003. Proceedings. DCC 2003
Print_ISBN :
0-7695-1896-6
DOI :
10.1109/DCC.2003.1194027
