三维刚体方向不确定性向其点的传播

M. Franaszek, G. Cheok
{"title":"三维刚体方向不确定性向其点的传播","authors":"M. Franaszek, G. Cheok","doi":"10.1109/ICCVW.2017.255","DOIUrl":null,"url":null,"abstract":"If a CAD model of a rigid object is available, the location of any point on an object can be derived from the measured 6DOF pose of the object. However, the uncertainty of the measured pose propagates to the uncertainty of the point in an anisotropic way. We investigate this propagation for a class of systems that determine an object pose by using point-based rigid body registration. For such systems, the uncertainty in the location of the points used for registration propagates to the pose uncertainty. We find that for different poses of the object, the direction corresponding to the smallest propagated uncertainty remains relatively unchanged in the object's local frame, regardless of object pose. We show that this direction may be closely approximated by the moment of inertia axis which is based on the configuration of the fiducials. We use existing theory of rigid-body registration to explain the experimental results, discuss the limitations of the theory and practical implications of our findings.","PeriodicalId":149766,"journal":{"name":"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Propagation of Orientation Uncertainty of 3D Rigid Object to Its Points\",\"authors\":\"M. Franaszek, G. Cheok\",\"doi\":\"10.1109/ICCVW.2017.255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"If a CAD model of a rigid object is available, the location of any point on an object can be derived from the measured 6DOF pose of the object. However, the uncertainty of the measured pose propagates to the uncertainty of the point in an anisotropic way. We investigate this propagation for a class of systems that determine an object pose by using point-based rigid body registration. For such systems, the uncertainty in the location of the points used for registration propagates to the pose uncertainty. We find that for different poses of the object, the direction corresponding to the smallest propagated uncertainty remains relatively unchanged in the object's local frame, regardless of object pose. We show that this direction may be closely approximated by the moment of inertia axis which is based on the configuration of the fiducials. We use existing theory of rigid-body registration to explain the experimental results, discuss the limitations of the theory and practical implications of our findings.\",\"PeriodicalId\":149766,\"journal\":{\"name\":\"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVW.2017.255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Conference on Computer Vision Workshops (ICCVW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVW.2017.255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

如果一个刚体物体的CAD模型是可用的,那么物体上任何一点的位置都可以从物体的测量6DOF位姿中得到。然而,被测姿态的不确定性以各向异性的方式传播到点的不确定性。我们研究了一类通过使用基于点的刚体配准来确定物体姿态的系统的这种传播。对于这样的系统,用于配准的点的位置的不确定性传播到姿态的不确定性。我们发现,对于物体的不同姿态,无论物体的姿态如何,最小传播不确定性所对应的方向在物体的局部帧中保持相对不变。我们证明了这个方向可以用基于基准结构的转动惯量轴来近似。我们利用现有的刚体配准理论来解释实验结果,讨论了理论的局限性和我们的研究结果的实际意义。
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
Propagation of Orientation Uncertainty of 3D Rigid Object to Its Points
If a CAD model of a rigid object is available, the location of any point on an object can be derived from the measured 6DOF pose of the object. However, the uncertainty of the measured pose propagates to the uncertainty of the point in an anisotropic way. We investigate this propagation for a class of systems that determine an object pose by using point-based rigid body registration. For such systems, the uncertainty in the location of the points used for registration propagates to the pose uncertainty. We find that for different poses of the object, the direction corresponding to the smallest propagated uncertainty remains relatively unchanged in the object's local frame, regardless of object pose. We show that this direction may be closely approximated by the moment of inertia axis which is based on the configuration of the fiducials. We use existing theory of rigid-body registration to explain the experimental results, discuss the limitations of the theory and practical implications of our findings.
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
UCT: Learning Unified Convolutional Networks for Real-Time Visual Tracking Particle Filter Based Probabilistic Forced Alignment for Continuous Gesture Recognition Ancient Roman Coin Recognition in the Wild Using Deep Learning Based Recognition of Artistically Depicted Face Profiles Propagation of Orientation Uncertainty of 3D Rigid Object to Its Points BEHAVE — Behavioral Analysis of Visual Events for Assisted Living Scenarios
×
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