Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality

Soroosh Mortezapoor, Christian Schönauer, Julien Rüggeberg, H. Kaufmann
{"title":"Photogrammabot: An Autonomous ROS-Based Mobile Photography Robot for Precise 3D Reconstruction and Mapping of Large Indoor Spaces for Mixed Reality","authors":"Soroosh Mortezapoor, Christian Schönauer, Julien Rüggeberg, H. Kaufmann","doi":"10.1109/VRW55335.2022.00033","DOIUrl":null,"url":null,"abstract":"Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.","PeriodicalId":326252,"journal":{"name":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VRW55335.2022.00033","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

Precise 3D reconstruction of environments and real objects for Mixed-Reality applications can be burdensome. Photogrammetry can help to create accurate representations of actual objects in the virtual world using a high number of photos of a subject or an environment. Photogrammabot is an affordable mobile robot that facilitates photogrammetry and 3D reconstruction by autonomously and systematically capturing images. It explores an unknown indoor environment and uses map-based localization and navigation to maintain camera direction at different shooting points. Photogrammabot employs a Raspberry Pi 4B and Robot Operating System (ROS) to control the exploration and capturing processes. The photos are taken using a point-and-shoot camera mounted on a 2-DOF micro turret to enable photography from different angles and compensate for possible robot orientation errors to ensure parallel photos. Photogrammabot has been designed as a general solution to facilitate precise 3D reconstruction of unknown environments. In addition we developed tools to integrate it with and extend the Immersive Deck™ MR system [23], where it aids the setup of the system in new locations.
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
photogramabot:一种基于ros的自主移动摄影机器人,用于混合现实中大型室内空间的精确3D重建和映射
混合现实应用程序的环境和真实对象的精确3D重建可能是繁重的。摄影测量学可以使用大量的主题或环境照片,帮助创建虚拟世界中实际物体的准确表示。photogramabot是一款经济实惠的移动机器人,通过自主和系统地捕获图像,促进摄影测量和3D重建。它探索未知的室内环境,并使用基于地图的定位和导航来保持相机在不同拍摄点的方向。photogramabot采用树莓派4B和机器人操作系统(ROS)来控制探索和捕获过程。这些照片是用安装在2自由度微炮塔上的傻瓜相机拍摄的,可以从不同的角度拍摄,并补偿可能的机器人方向误差,以确保照片平行。photogramabot被设计为一种通用的解决方案,以方便对未知环境进行精确的3D重建。此外,我们还开发了工具,将其与Immersive Deck™MR系统[23]集成并扩展,从而帮助在新地点设置系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Jitsi360: Using 360 Images for Live Tours Control with Vergence Eye Movement in Augmented Reality See-Through Vision Understanding Shoulder Surfer Behavior Using Virtual Reality High-speed Gaze-oriented Projection by Cross-ratio-based Eye Tracking with Dual Infrared Imaging [DC] Leveraging AR Cues towards New Navigation Assistant Paradigm
×
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