返回
摘要
En 中文
As opposed to constructing a complex solid model by adding simple primitives, maximal volume decomposition is the method to decompose a solid model into simpler volumes whose union is the solid model itself. A maximal volume of a solid model is the large and simple volume that does not have a concave edge and that is not contained by any other such volume. In spite of the usefulness in solid modeling such as recognition of intersecting machining features, the scalability of the method has been a problem for practical applications. The two issues in the problem-the global effect of face extension and the heavy computational load for cell collection-should be addressed. In this paper. a volume decomposition method that handles these two issues effectively is presented. This method called fast volume decomposition decomposes a solid model significantly fast with the localized face extension and the cell collection using the seed cell. (C) 2003 Elsevier Science Ltd. All rights reserved.
Keyword:
volume decomposition
destructive modeling
feature recognition
local modification
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
C
IF:
3.1
论文数:
3.2K
被引数:
6.4K
机构
暂无机构信息
引用论文
Prevalence of Contraceptive Non-use Due to Husbands/Partners Influence Among Married Women in Ethiopia: A Multilevel Analysis Using Demographic and Health Survey 2016 Data埃塞俄比亚已婚女性因丈夫/伴侣影响未使用避孕措施的现象及其多水平分析:基于2016年人口与健康调查数据

