Image-based ghostings for single layer occlusions in augmented reality

S. Zollmann, Denis Kalkofen, Erick Méndez, Gerhard Reitmayr
{"title":"Image-based ghostings for single layer occlusions in augmented reality","authors":"S. Zollmann, Denis Kalkofen, Erick Méndez, Gerhard Reitmayr","doi":"10.1109/ISMAR.2010.5643546","DOIUrl":null,"url":null,"abstract":"In augmented reality displays, X-Ray visualization techniques make hidden objects visible through combining the physical view with an artificial rendering of the hidden information. An important step in X-Ray visualization is to decide which parts of the physical scene should be kept and which should be replaced by overlays. The combination should provide users with essential perceptual cues to understand the relationship of depth between hidden information and the physical scene. In this paper we present an approach that addresses this decision in unknown environments by analyzing camera images of the physical scene and using the extracted information for occlusion management. Pixels are grouped into perceptually coherent image regions and a set of parameters is determined for each region. The parameters change the X-Ray visualization for either preserving existing structures or generating synthetic structures. Finally, users can customize the overall opacity of foreground regions to adapt the visualization.","PeriodicalId":250608,"journal":{"name":"2010 IEEE International Symposium on Mixed and Augmented Reality","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Symposium on Mixed and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMAR.2010.5643546","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 63

Abstract

In augmented reality displays, X-Ray visualization techniques make hidden objects visible through combining the physical view with an artificial rendering of the hidden information. An important step in X-Ray visualization is to decide which parts of the physical scene should be kept and which should be replaced by overlays. The combination should provide users with essential perceptual cues to understand the relationship of depth between hidden information and the physical scene. In this paper we present an approach that addresses this decision in unknown environments by analyzing camera images of the physical scene and using the extracted information for occlusion management. Pixels are grouped into perceptually coherent image regions and a set of parameters is determined for each region. The parameters change the X-Ray visualization for either preserving existing structures or generating synthetic structures. Finally, users can customize the overall opacity of foreground regions to adapt the visualization.
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
增强现实中单层遮挡的基于图像的鬼影
在增强现实显示中,x射线可视化技术通过将物理视图与隐藏信息的人工渲染相结合,使隐藏物体可见。x射线可视化的一个重要步骤是决定物理场景的哪些部分应该保留,哪些应该被覆盖层取代。这种组合应该为用户提供必要的感知线索,以理解隐藏信息与物理场景之间的深度关系。在本文中,我们提出了一种在未知环境中通过分析物理场景的相机图像并使用提取的信息进行遮挡管理来解决这一问题的方法。像素被分成感知上连贯的图像区域,并为每个区域确定一组参数。这些参数改变了x射线可视化,要么保留现有结构,要么生成合成结构。最后,用户可以自定义前景区域的整体不透明度,以适应可视化。
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
3DOF tracking accuracy improvement for outdoor Augmented Reality ARCrowd-a tangible interface for interactive crowd simulation Generating vision based Lego augmented reality training and evaluation systems MTMR: A conceptual interior design framework integrating Mixed Reality with the Multi-Touch tabletop interface Towards real time 3D tracking and reconstruction on a GPU using Monte Carlo simulations
×
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