面向时变场景的下一个最佳视图规划

Embla Morast, P. Jensfelt
{"title":"面向时变场景的下一个最佳视图规划","authors":"Embla Morast, P. Jensfelt","doi":"10.1109/ICARA51699.2021.9376559","DOIUrl":null,"url":null,"abstract":"In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.","PeriodicalId":183788,"journal":{"name":"2021 7th International Conference on Automation, Robotics and Applications (ICARA)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Towards Next Best View Planning for Time-Variant Scenes\",\"authors\":\"Embla Morast, P. Jensfelt\",\"doi\":\"10.1109/ICARA51699.2021.9376559\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.\",\"PeriodicalId\":183788,\"journal\":{\"name\":\"2021 7th International Conference on Automation, Robotics and Applications (ICARA)\",\"volume\":\"12 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 7th International Conference on Automation, Robotics and Applications (ICARA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICARA51699.2021.9376559\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 7th International Conference on Automation, Robotics and Applications (ICARA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICARA51699.2021.9376559","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在物体或场景的建模和重建中,动态设置比更充分研究的静态情况提出了不同的挑战。在这项工作中,我们通过研究如何将次优视图规划应用于动态场景的观察来探索这些挑战。我们对基于静态案例的不同信息表示进行了全面的回顾,发现如果不考虑信息退化和观测偏差,视图规划不能直接从静态环境转移到动态场景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Next Best View Planning for Time-Variant Scenes
In modelling and reconstruction of objects or scenes, dynamic settings present different challenges than the more well-studied static case. In this work, we explore these challenges by investigating how next best view planning can be adapted for observation of dynamic scenes. We conduct a thorough review of different representations of information based on precedent from the static case, and find that view planning cannot be directly transferred from static environments to dynamic scenes without accounting for information deterioration and observational bias.
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