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商空间粒度下的点曲面模型绘制研究

Research of Point Set Model Rendering Based on the Quotient Space Granular Theory
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摘要 在研究已有的基于点的绘制的相关方法基础上,通过阐述基于商空间粒度计算理论,提出一个基于商空间的层次聚类简化算法。该算法能够通过法方向上的锥半角的大小作为等价关系来控制层次聚类,用商空间的三元组—([X],[f],[T])来描述点聚类过程,利用粒度分层技术构造了点曲面模型的树型连续层次多分辨率表达,并通过树的遍历实现实时绘制。实验证明,该方法能够使系统保证较好的绘制质量。 Based on the study of existing related point-based rendering methods,a hierarchical clustering and simplification algorithm based on the quotient space theory has been put forward through the elaboration of the granularity computing of quotient space theory. The algorithm could control the hierarchical clustering through the size of cone semi-angle as equivalence relation. This paper describes poins clustering process with triple elements function of the quotient space model-([X],[f],[T]),and constructs a continuous multi-resolution hierarchical representation for point-based model with granularity hierarchical technique.Finally,real-time rendering is realized through the tree traversing. The results showed that this method can make the system ensure good rendering quality.
作者 石晓敬 韩燮
出处 《微计算机信息》 2010年第36期209-211,共3页 Control & Automation
关键词 商空间 粒度 模型简化 多层次 点绘制 quotient space granularity model simplification multi-level point-based rendering
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  • 1王志坚,蔡自兴.一种制造系统模型及其简化[J].微计算机信息,2007(03S):139-140. 被引量:4
  • 2Yao Y Y. Granular computing: basic issues and possible solutions. In: Proc. of the 5th Joint Conf. on Information Sciences,Volume Ⅰ, Atlantic City, New Jersey, USA, February 27-March 3, 2000, P.P. Wang Ed. , Association for Intelligent Machinery, 2000. 186~189
  • 3Zadeh L A. Fuzzy Logic = Computing with Words. IEEE Trans. on Fuzzy Systems, 1996,2: 103~ 111
  • 4Thiele H. On Semantic Models for Investigating Computing with words. In: Second Intl. Conf. on Knowledge Based Intelligent Electronic Systems, Adelaide, No. CL-32-98. 1998
  • 5Pawlak Z. Rough sets. Intl. Journal of Computer and InformationSeience, 1982,11 : 341~356
  • 6Yao Y Y. Granular computing using neighborhood systems. In: Roy R,Furuhashi T, Chawdhry, RK, eds. Advances in soft computing: engineering design and facturing. London: Spring-Verlag; 1999. 111~116
  • 7Zadeh L A. The Key Roles of Information Granulation and Fuzzy logic in Human Reasoning. In: 1996 IEEE International Conference on Fuzzy Systems, September 8-11,1,1996
  • 8Zadeh L A. Some Reflections on Information Granulation and its Centrility in Granular Computing, Computing with words, the Computational Theory of Perceptions and Precisiated Natural Language. In: Data Mining, Rough Sets and Granular Computing,T. Y. Lin, Y. Y. Yao, Zadeh. L. A. Physica-Verlag,2002
  • 9Zadeh L A. The roles of Fuzzy logic and soft computing in the conception,design and deployment of intelligent systems. In: H.S. Nwana and N. Azarmi, Eds. Software Agents and Soft Computing: Towards Enhancing Machine Intelligence, Concepts and Applications, Springer Verlag, 1997. 183~190
  • 10Zadeh L A. Fuzzy sets and information granularity, In: Advances in Fuzzy Set Theory and Applications, M. Gupta, R. Ragade and R. Yager eds. North-Holland , Amsterdam Publishing Co., 1979. 3~18

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