隐曲面曲率的可靠估计

Jacob D. Hauenstein, Timothy S Newman
{"title":"隐曲面曲率的可靠估计","authors":"Jacob D. Hauenstein, Timothy S Newman","doi":"10.1109/3DV.2014.30","DOIUrl":null,"url":null,"abstract":"Estimation of curvature in volumetric datasets is considered. One component of the exhibition here is new extensions of several known methods for such estimations in range images to the new domain of volumetric datasets. A second component is that the (1) accuracy and (2) computational performance of these extensions (and five well-known existing methods for curvature estimation in volumetric datasets) are comparatively examined.","PeriodicalId":275516,"journal":{"name":"2014 2nd International Conference on 3D Vision","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"On Reliable Estimation of Curvatures of Implicit Surfaces\",\"authors\":\"Jacob D. Hauenstein, Timothy S Newman\",\"doi\":\"10.1109/3DV.2014.30\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Estimation of curvature in volumetric datasets is considered. One component of the exhibition here is new extensions of several known methods for such estimations in range images to the new domain of volumetric datasets. A second component is that the (1) accuracy and (2) computational performance of these extensions (and five well-known existing methods for curvature estimation in volumetric datasets) are comparatively examined.\",\"PeriodicalId\":275516,\"journal\":{\"name\":\"2014 2nd International Conference on 3D Vision\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 2nd International Conference on 3D Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/3DV.2014.30\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on 3D Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DV.2014.30","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

摘要

考虑了体积数据集的曲率估计。这次展览的一个组成部分是将几种已知的距离图像估计方法扩展到新的体积数据集领域。第二个组成部分是(1)精度和(2)计算性能的这些扩展(和现有的五种众所周知的曲率估计方法在体积数据集)进行了比较检查。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Reliable Estimation of Curvatures of Implicit Surfaces
Estimation of curvature in volumetric datasets is considered. One component of the exhibition here is new extensions of several known methods for such estimations in range images to the new domain of volumetric datasets. A second component is that the (1) accuracy and (2) computational performance of these extensions (and five well-known existing methods for curvature estimation in volumetric datasets) are comparatively examined.
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