4D Capture Using Visibility Information of Multiple Projector Camera System

R. Sagawa, N. Kasuya, Yoshinori Oki, Hiroshi Kawasaki, Yoshio Matsumoto, Furukawa Ryo
{"title":"4D Capture Using Visibility Information of Multiple Projector Camera System","authors":"R. Sagawa, N. Kasuya, Yoshinori Oki, Hiroshi Kawasaki, Yoshio Matsumoto, Furukawa Ryo","doi":"10.1109/3DV.2014.70","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence at high frame rate. We propose a multiple projector-camera system to tackle this problem. One of the issues of multi-view stereo is to determine visibility of cameras for each point of the surface. While estimating the scene geometry and its visibility is a chicken-and-egg problem for passive multi-view stereo, it was solved by, for example, iterative approach conducting the estimation of visibility and the reconstruction of the scene geometry repeatedly. With our method, since visibility problem is independently solved by using the projected pattern, shapes are recovered efficiently without considering visibility problem. Further, the visibility information is not only used for multi-view stereo reconstruction, but also for merging 3D shapes to eliminate inconsistency between devices. The efficiency of the proposed method is tested in the experiments, proving the merged mesh is suitable for 4Dreconstruction.","PeriodicalId":275516,"journal":{"name":"2014 2nd International Conference on 3D Vision","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 2nd International Conference on 3D Vision","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/3DV.2014.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we propose a method with multiple cameras and projectors for 4D capture of moving objects. The issues of previous 4D capture systems are that the number of cameras are limited, and the number of images is very large to capture the sequence at high frame rate. We propose a multiple projector-camera system to tackle this problem. One of the issues of multi-view stereo is to determine visibility of cameras for each point of the surface. While estimating the scene geometry and its visibility is a chicken-and-egg problem for passive multi-view stereo, it was solved by, for example, iterative approach conducting the estimation of visibility and the reconstruction of the scene geometry repeatedly. With our method, since visibility problem is independently solved by using the projected pattern, shapes are recovered efficiently without considering visibility problem. Further, the visibility information is not only used for multi-view stereo reconstruction, but also for merging 3D shapes to eliminate inconsistency between devices. The efficiency of the proposed method is tested in the experiments, proving the merged mesh is suitable for 4Dreconstruction.
利用多投影仪摄像机系统的可视性信息进行4D捕捉
在本文中,我们提出了一种使用多摄像机和投影仪进行4D运动物体捕获的方法。以前的4D捕捉系统的问题是相机数量有限,图像数量非常大,无法以高帧率捕捉序列。我们提出了一个多投影机-摄像机系统来解决这个问题。多视点立体的问题之一是确定相机对表面每个点的可见性。对于被动多视立体来说,场景几何形状及其可见性的估计是一个先有鸡还是先有蛋的问题,采用迭代法等方法反复进行场景几何形状的估计和重建。该方法利用投影模式独立解决可见性问题,在不考虑可见性问题的情况下,有效地恢复了形状。此外,可视化信息不仅用于多视图立体重建,还用于合并3D形状,以消除设备之间的不一致性。实验验证了该方法的有效性,证明合并后的网格适用于4Dreconstruction。
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 求助全文
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