Real-time Shadow Removal using a Volumetric Skeleton Model in a Front Projection System

Jaedong Kim, Hyunggoog Seo, Seunghoon Cha, Jun-yong Noh
{"title":"Real-time Shadow Removal using a Volumetric Skeleton Model in a Front Projection System","authors":"Jaedong Kim, Hyunggoog Seo, Seunghoon Cha, Jun-yong Noh","doi":"10.2312/pg.20171318","DOIUrl":null,"url":null,"abstract":"When a person is located between a display and a projector in operation, a shadow is cast on the display. The shadow on a display may eliminate important visual information and therefore adversely affects the viewing experiences. There have been various attempts to remove shadows cast on a projection display by using multiple projectors. We propose a real time novel approach to removing shadow cast by the person who dynamically interacts with the display making limb motions in a front projection system. The proposed method utilizes a human skeleton obtained from a depth camera to track the posture of the person which changes over time. A model that consists of spheres and conical frustums is constructed based on the skeleton information in order to represent volumetric information of the person being tracked. Our method precisely estimates the shadow region by projecting the volumetric model onto the display. In addition, employment of intensity masks that is based on a distance field helps suppress the afterimage of shadow that appears when the person moves abrubtly and smooth the difference of the brightness caused by different projectors at the boundary of the shadow region.","PeriodicalId":88304,"journal":{"name":"Proceedings. Pacific Conference on Computer Graphics and Applications","volume":"34 1","pages":"13-16"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. Pacific Conference on Computer Graphics and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2312/pg.20171318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

When a person is located between a display and a projector in operation, a shadow is cast on the display. The shadow on a display may eliminate important visual information and therefore adversely affects the viewing experiences. There have been various attempts to remove shadows cast on a projection display by using multiple projectors. We propose a real time novel approach to removing shadow cast by the person who dynamically interacts with the display making limb motions in a front projection system. The proposed method utilizes a human skeleton obtained from a depth camera to track the posture of the person which changes over time. A model that consists of spheres and conical frustums is constructed based on the skeleton information in order to represent volumetric information of the person being tracked. Our method precisely estimates the shadow region by projecting the volumetric model onto the display. In addition, employment of intensity masks that is based on a distance field helps suppress the afterimage of shadow that appears when the person moves abrubtly and smooth the difference of the brightness caused by different projectors at the boundary of the shadow region.
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
在正面投影系统中使用体积骨架模型的实时阴影去除
当一个人位于正在运行的显示器和投影仪之间时,阴影就会投射到显示器上。显示器上的阴影可能会消除重要的视觉信息,从而对观看体验产生不利影响。通过使用多个投影仪,已经有了各种各样的尝试来消除投影显示器上的阴影。我们提出了一种实时的新方法来消除由人在正面投影系统中与显示器动态交互而产生的阴影。所提出的方法利用从深度相机获得的人体骨骼来跟踪人的姿势随时间的变化。为了表示被跟踪人的体积信息,在骨架信息的基础上构建了一个由球体和圆锥体组成的模型。我们的方法通过将体积模型投射到显示器上来精确地估计阴影区域。此外,使用基于距离场的强度掩模有助于抑制人在突然移动时出现的阴影后像,并平滑阴影区域边界处不同投影仪造成的亮度差异。
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
Cloud-Assisted Hybrid Rendering for Thin-Client Games and VR Applications Interactive Deformable Image Registration with Dual Cursor DFGA: Digital Human Faces Generation and Animation from the RGB Video using Modern Deep Learning Technology Aesthetic Enhancement via Color Area and Location Awareness Learning a Style Space for Interactive Line Drawing Synthesis from Animated 3D Models
×
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