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Multiresolution decimation based on global error

delete1997-07-24
delete122
PRE
AI
A
Andrea Ciampalini
P
Paolo Cignoni
R
Roberto Scopigno
DOI:10.1007/s003710050101delete
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Abstract

Abstract

En 中文
Due to surface meshes being produced at increasing complexity in many applications, interest in efficient simplification algorithms and multiresolution representation is very high. An enhanced simplification approach and a general multiresolution data scheme are presented here. JADE, a new simplification solution based on the mesh decimation approach, has been designed to provide both increased approximation precision, based on global error management, and multiresolution output. Moreover, we show that with a small increase in memory, which is needed to store the multiresolution data representation, we are able to extract any level of detail representation hom the simplification results in an extremely efficient way. Results are reported on empirical time complexity, approximation quality, and simplification power.
Keywords:
surface modeling
mesh simplification
bounded approximation error
multiresolution

Journal

Visual Computer cover
Visual Computer
IF:
2.9
Papers:
4.6K
Citations:
6.5K

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