Data Compression
Hierarchical isocontours extraction and compression
Sibgrapi 2004 (XVII Brazilian Symposium on Computer Graphics and Image Processing): pp. 234-241 (October 2004)
Selected for publication in Computerized Medical Imaging and Graphics

abstract
Abstract
In this work, we introduce a new scheme to extract hierarchical isocontours from regular and irregular 2D sampled data and to encode it at single rate or progressively. A dynamic tessellation is used to represent and adapt the 2D data to the isocontour. This adaptation induces a controlled multi-resolution representation of the isocontour. We can then encode this representation and control the geometry and topology of the decoded isocontour. The resulting algorithms form an efficient and flexible isocontour extraction and compression scheme.
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cite
BibTeX
@inproceedings{isocontour_sibgrapi,
author = {Thomas Lewiner and Luiz Velho and Hélio Lopes and Vinícius Mello},
title = {Hierarchical isocontours extraction and compression},
year = {2004},
month = {october},
booktitle = {Sibgrapi 2004 (XVII Brazilian Symposium on Computer Graphics and Image Processing)},
pages = {234--241},
publisher = {IEEE},
address = {Curitiba, PA},
doi = {10.1109/SIBGRA.2004.1352966},
url = {https://thomas.lewiner.org/pdfs/isocontour_sibgrapi.pdf}
}
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