使用表面重建的机器视觉

R. Munasinghe, C.G. Fernando
{"title":"使用表面重建的机器视觉","authors":"R. Munasinghe, C.G. Fernando","doi":"10.1109/SSST.2004.1295609","DOIUrl":null,"url":null,"abstract":"Two cameras with parallel optical axes at the same altitude are often used for stereo vision. In this paper, mathematical relationships between pixel positions and the coordinates of the point viewed are derived for any camera structure. A detailed description of epipolar geometry is included and equations for epipolar lines are derived. The key problem in static stereo method for surface reconstruction is the correspondence problem, the task of matching corresponding pixels in two images. Matching all pixels is necessary for construction of a dense surface. Since it takes an extraordinary amount of time for matching all pixels, construction of polyhedral approximations for surfaces is proposed. An existing algorithm is modified for this purpose.","PeriodicalId":309617,"journal":{"name":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Use of surface reconstruction for machine vision\",\"authors\":\"R. Munasinghe, C.G. Fernando\",\"doi\":\"10.1109/SSST.2004.1295609\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Two cameras with parallel optical axes at the same altitude are often used for stereo vision. In this paper, mathematical relationships between pixel positions and the coordinates of the point viewed are derived for any camera structure. A detailed description of epipolar geometry is included and equations for epipolar lines are derived. The key problem in static stereo method for surface reconstruction is the correspondence problem, the task of matching corresponding pixels in two images. Matching all pixels is necessary for construction of a dense surface. Since it takes an extraordinary amount of time for matching all pixels, construction of polyhedral approximations for surfaces is proposed. An existing algorithm is modified for this purpose.\",\"PeriodicalId\":309617,\"journal\":{\"name\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SSST.2004.1295609\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Thirty-Sixth Southeastern Symposium on System Theory, 2004. Proceedings of the","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SSST.2004.1295609","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

立体视觉通常使用两个平行光轴在同一高度的相机。本文推导了任意相机结构中像素位置与被观察点坐标之间的数学关系。详细描述了极线的几何形状,并推导了极线的方程。静态立体曲面重建方法的关键问题是对应问题,即两幅图像中对应像素的匹配问题。匹配所有像素对于构建密集曲面是必要的。由于匹配所有像素需要大量的时间,因此提出了曲面多面体近似的构造方法。为此,对现有算法进行了修改。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Use of surface reconstruction for machine vision
Two cameras with parallel optical axes at the same altitude are often used for stereo vision. In this paper, mathematical relationships between pixel positions and the coordinates of the point viewed are derived for any camera structure. A detailed description of epipolar geometry is included and equations for epipolar lines are derived. The key problem in static stereo method for surface reconstruction is the correspondence problem, the task of matching corresponding pixels in two images. Matching all pixels is necessary for construction of a dense surface. Since it takes an extraordinary amount of time for matching all pixels, construction of polyhedral approximations for surfaces is proposed. An existing algorithm is modified for this purpose.
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
期刊最新文献
Clutter complexity analysis of hyper-spectral bands Performance analysis of UNIX user datagram protocol implementations On the complexity and accuracy of motion estimation using Lie operators Real time modeling and control of circulating fluidized bed Vehicle lateral control using a double integrator control strategy
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1