[1]冯钦 倪桂强 罗健欣.一种改进的多属性模型压缩算法[J].计算机技术与发展,2012,(04):37-40.
　FENG Qin,NI Gui-qiang,LUO Jian-xin.An Improved Surface Simplification Algorithm with Multi-Attributes[J].,2012,(04):37-40.
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一种改进的多属性模型压缩算法()

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
37-40
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
An Improved Surface Simplification Algorithm with Multi-Attributes
文章编号:
1673-629X（2012）04-0037-04
作者:
冯钦 倪桂强 罗健欣
解放军理工大学指挥自动化学院
Author(s):
FENG Qin; NI Gui-qiang; LUO Jian-xin
Institute of Command Automation,PLA University of Science ＆ Technology
关键词:
模型简化; 二次方拟合; 多属性; 渐进网格
Keywords:
surface simplification;  quadric error metrics;  multi-attributes;  progressive mesh
分类号:
TP31
文献标志码:
A
摘要:
传统的压缩算法在实际模型上应用时经常出现＂空洞＂和面重叠等问题,通过在.x、.obj、.3ds、.max等模型实例上实验发现,出现上述问题的主要原因在于几何相似点,这些点在压缩过程中出现了偏差。文中提出了一种改进的压缩算法,该算法首先利用八叉树切分空间确定几何相似点,然后针对几何相似点采用一系列策略,使它们在压缩过程中仍然保持良好的几何连续性。对比实验表明,该算法不仅能克服传统算法出现的问题,还能更好地保持模型的整体性与连贯性
Abstract:
Applying traditional algorithm in real models often leads to some problems such as faces overlaps and ＂holes＂.Found this was because of those geometrically similar points which often resulted in wrong positions during simplification.Then propose a new algorithm.This algorithm searches geometrically similar points by the way of partitioning space with octonary tree,then put an emphases on those geometrically similar points and maintain their geometric continuity during simplification from some strategies.Experiments showed that the new algorithm could overcome those shortcomings and besides produced better integrality and consistency comparing with traditional algorithms

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备注/Memo

备注/Memo:
国家自然科学基金资助项目（60303023）冯钦（1987-），男，硕士研究生，主要研究方向为模型压缩；倪桂强，博士，教授，主要研究方向为分布式计算、网络管理、软件工程等
更新日期/Last Update: 1900-01-01