基于模型的距离数据-超二次曲面和分割面分割

Senthil Kumar, Dmitry Goldgof
{"title":"基于模型的距离数据-超二次曲面和分割面分割","authors":"Senthil Kumar, Dmitry Goldgof","doi":"10.1109/PBMCV.1995.514663","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel techn,ique for the volum.etric decomposition of ran,ge data into parts. In this model based technique, we use hyperquadrics as part models. A hyperquadric is represented by an implicit equation that is composed of an arbitrary number of terms. A given hyperquadric model with a certain number of terms can be split into two separate models (or parts) by the introduction of an additional term. This additional term can be viewed as a dividing plane that divides th,e parent model. We use such a splitting scheme to subdivide a given object recursively into its constitute parts. We provide a two-stage segmentation process in which the first stage uses dividing planes to produce an, approximate segmentation, of the data and the second stage uses hyperquadric models to refine the above segmentation, A final merging stage corrects oversegmentation to obtain good part decomposition. Experimental results with real data are presented.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Model based part segmentation of range data-hyperquadrics and dividing planes\",\"authors\":\"Senthil Kumar, Dmitry Goldgof\",\"doi\":\"10.1109/PBMCV.1995.514663\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we present a novel techn,ique for the volum.etric decomposition of ran,ge data into parts. In this model based technique, we use hyperquadrics as part models. A hyperquadric is represented by an implicit equation that is composed of an arbitrary number of terms. A given hyperquadric model with a certain number of terms can be split into two separate models (or parts) by the introduction of an additional term. This additional term can be viewed as a dividing plane that divides th,e parent model. We use such a splitting scheme to subdivide a given object recursively into its constitute parts. We provide a two-stage segmentation process in which the first stage uses dividing planes to produce an, approximate segmentation, of the data and the second stage uses hyperquadric models to refine the above segmentation, A final merging stage corrects oversegmentation to obtain good part decomposition. Experimental results with real data are presented.\",\"PeriodicalId\":343932,\"journal\":{\"name\":\"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-06-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PBMCV.1995.514663\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PBMCV.1995.514663","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

在本文中,我们提出了一种新的技术,用于体积。将ran、ge数据分解成部分。在这种基于模型的技术中,我们使用超二次曲面作为零件模型。超二次曲面由一个由任意数目的项组成的隐式方程表示。给定的具有一定数量项的超二次模型可以通过引入额外的项而分成两个独立的模型(或部分)。这个附加项可以看作是划分父模型的分割面。我们使用这样的分割方案将给定的对象递归地细分为它的组成部分。我们提供了一个两阶段的分割过程,其中第一阶段使用分割平面对数据进行近似分割,第二阶段使用超二次模型对上述分割进行细化,最后的合并阶段纠正过度分割以获得良好的部分分解。给出了实测数据的实验结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model based part segmentation of range data-hyperquadrics and dividing planes
In this paper, we present a novel techn,ique for the volum.etric decomposition of ran,ge data into parts. In this model based technique, we use hyperquadrics as part models. A hyperquadric is represented by an implicit equation that is composed of an arbitrary number of terms. A given hyperquadric model with a certain number of terms can be split into two separate models (or parts) by the introduction of an additional term. This additional term can be viewed as a dividing plane that divides th,e parent model. We use such a splitting scheme to subdivide a given object recursively into its constitute parts. We provide a two-stage segmentation process in which the first stage uses dividing planes to produce an, approximate segmentation, of the data and the second stage uses hyperquadric models to refine the above segmentation, A final merging stage corrects oversegmentation to obtain good part decomposition. Experimental results with real data are presented.
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:604180095
Book学术官方微信