使用主动视觉范式的运动结构

F. Chaumette, S. Boukir
{"title":"使用主动视觉范式的运动结构","authors":"F. Chaumette, S. Boukir","doi":"10.1109/ICPR.1992.201503","DOIUrl":null,"url":null,"abstract":"A method for the reconstruction and localization of geometrical primitives using active dynamic vision is presented. The approach is based on the use of the interaction matrix related to the visual data describing a primitive. Next, active vision is considered by computing adequate camera motions with a control law in closed-loop with respect to visual data. Simulation results on the localization of a sphere are presented and show that active vision can to a large extent improve the accuracy of the structure estimation.<<ETX>>","PeriodicalId":410961,"journal":{"name":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"22","resultStr":"{\"title\":\"Structure from motion using an active vision paradigm\",\"authors\":\"F. Chaumette, S. Boukir\",\"doi\":\"10.1109/ICPR.1992.201503\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A method for the reconstruction and localization of geometrical primitives using active dynamic vision is presented. The approach is based on the use of the interaction matrix related to the visual data describing a primitive. Next, active vision is considered by computing adequate camera motions with a control law in closed-loop with respect to visual data. Simulation results on the localization of a sphere are presented and show that active vision can to a large extent improve the accuracy of the structure estimation.<<ETX>>\",\"PeriodicalId\":410961,\"journal\":{\"name\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"22\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPR.1992.201503\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings. 11th IAPR International Conference on Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPR.1992.201503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 22

摘要

提出了一种基于主动动态视觉的几何原语重构与定位方法。该方法基于与描述原语的可视化数据相关的交互矩阵的使用。其次,考虑主动视觉,计算适当的相机运动与闭环控制律相对于视觉数据。给出了球面定位的仿真结果,结果表明主动视觉可以在很大程度上提高结构估计的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structure from motion using an active vision paradigm
A method for the reconstruction and localization of geometrical primitives using active dynamic vision is presented. The approach is based on the use of the interaction matrix related to the visual data describing a primitive. Next, active vision is considered by computing adequate camera motions with a control law in closed-loop with respect to visual data. Simulation results on the localization of a sphere are presented and show that active vision can to a large extent improve the accuracy of the structure estimation.<>
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