实用的阴影测试的PO积分上修剪NURBS表面

Jun Yan, Jun Hu, Z. Nie
{"title":"实用的阴影测试的PO积分上修剪NURBS表面","authors":"Jun Yan, Jun Hu, Z. Nie","doi":"10.1109/COMPEM.2015.7052607","DOIUrl":null,"url":null,"abstract":"A practical shadowing test technique for the trimmed NURBS surface (TNS) is presented in this work. By employing an efficient Bezier patch classification algorithm, a two-level hierarchical space partitioning volume (HSPV) is built for the TNS, where the leaves of the HSPV that contains trimmed off part of the original surface are marked out, making sure the shadowing test occurs on the effective part of the original surface. The numerical example demonstrates the effectiveness of the proposed method.","PeriodicalId":6530,"journal":{"name":"2015 IEEE International Conference on Computational Electromagnetics","volume":"154 1","pages":"206-208"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Practical shadowing test for PO integral on trimmed NURBS surfaces\",\"authors\":\"Jun Yan, Jun Hu, Z. Nie\",\"doi\":\"10.1109/COMPEM.2015.7052607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A practical shadowing test technique for the trimmed NURBS surface (TNS) is presented in this work. By employing an efficient Bezier patch classification algorithm, a two-level hierarchical space partitioning volume (HSPV) is built for the TNS, where the leaves of the HSPV that contains trimmed off part of the original surface are marked out, making sure the shadowing test occurs on the effective part of the original surface. The numerical example demonstrates the effectiveness of the proposed method.\",\"PeriodicalId\":6530,\"journal\":{\"name\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"volume\":\"154 1\",\"pages\":\"206-208\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Computational Electromagnetics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMPEM.2015.7052607\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Computational Electromagnetics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMPEM.2015.7052607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

提出了一种实用的裁剪NURBS曲面(TNS)阴影测试技术。通过采用高效的Bezier patch分类算法,为TNS构建两级分层空间分区体(HSPV),在HSPV中标记出包含原表面修剪掉部分的叶子,确保阴影测试发生在原表面的有效部分。数值算例验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical shadowing test for PO integral on trimmed NURBS surfaces
A practical shadowing test technique for the trimmed NURBS surface (TNS) is presented in this work. By employing an efficient Bezier patch classification algorithm, a two-level hierarchical space partitioning volume (HSPV) is built for the TNS, where the leaves of the HSPV that contains trimmed off part of the original surface are marked out, making sure the shadowing test occurs on the effective part of the original surface. The numerical example demonstrates the effectiveness of the proposed method.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信