Data Compression
GEncode: geometry-driven compression in arbitrary dimension and co-dimension
Sibgrapi 2005 (XVIII Brazilian Symposium on Computer Graphics and Image Processing): pp. 249-256 (October 2005)
Selected for publication in Computer Graphics Forum

abstract
Abstract
Among the mesh compression algorithms, different schemes compress better specific categories of model. In particular, geometry-driven approaches have shown outstanding performances on isosurfaces. It would be expected these algorithm to also encode well meshes reconstructed from the geometry, or optimized by a geometric re-meshing. GEncode is a new single-rate compression scheme that compresses the connectivity of these meshes at almost zero-cost. It improves existing geometry-driven schemes for general meshes on both geometry and connectivity compression. This scheme extends naturally to meshes of arbitrary dimensions in arbitrary ambient space, and deals gracefully with non-manifold meshes. Compression results for surfaces are competitive with existing schemes.
downloads
Downloads
cite
BibTeX
@inproceedings{gencode_sibgrapi,
author = {Thomas Lewiner and Marcos Craizer and Hélio Lopes and Sinésio Pesco and Luiz Velho and Esdras Medeiros},
title = {GEncode: geometry-driven compression in arbitrary dimension and co-dimension},
year = {2005},
month = {october},
booktitle = {Sibgrapi 2005 (XVIII Brazilian Symposium on Computer Graphics and Image Processing)},
pages = {249--256},
publisher = {IEEE},
address = {Natal, RN},
doi = {10.1109/SIBGRAPI.2005.27},
url = {https://thomas.lewiner.org/pdfs/gencode_sibgrapi.pdf}
}
related