Augmented reality image generation with virtualized real objects using view-dependent texture and geometry

Yuta Nakashima, Tomokazu Sato, Yusuke Uno, N. Yokoya, Norihiko Kawai
{"title":"Augmented reality image generation with virtualized real objects using view-dependent texture and geometry","authors":"Yuta Nakashima, Tomokazu Sato, Yusuke Uno, N. Yokoya, Norihiko Kawai","doi":"10.1109/ISMAR.2013.6671827","DOIUrl":null,"url":null,"abstract":"Augmented reality (AR) images with virtualized real objects can be used for various applications. However, such AR image generation requires hand-crafted 3D models of that objects, which are usually not available. This paper proposes a view-dependent texture (VDT)- and view-dependent geometry (VDG)-based method for generating high quality AR images, which uses 3D models automatically reconstructed from multiple images. Since the quality of reconstructed 3D models is usually insufficient, the proposed method inflates the objects in the depth map as VDG to repair chipped object boundaries and assigns a color to each pixel based on VDT to reproduce the detail of the objects. Background pixel exposure due to inflation is suppressed by the use of the foreground region extracted from the input images. Our experimental results have demonstrated that the proposed method can successfully reduce above visual artifacts.","PeriodicalId":92225,"journal":{"name":"International Symposium on Mixed and Augmented Reality : (ISMAR) [proceedings]. IEEE and ACM International Symposium on Mixed and Augmented Reality","volume":"12 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Symposium on Mixed and Augmented Reality : (ISMAR) [proceedings]. IEEE and ACM International Symposium on Mixed and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISMAR.2013.6671827","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

Augmented reality (AR) images with virtualized real objects can be used for various applications. However, such AR image generation requires hand-crafted 3D models of that objects, which are usually not available. This paper proposes a view-dependent texture (VDT)- and view-dependent geometry (VDG)-based method for generating high quality AR images, which uses 3D models automatically reconstructed from multiple images. Since the quality of reconstructed 3D models is usually insufficient, the proposed method inflates the objects in the depth map as VDG to repair chipped object boundaries and assigns a color to each pixel based on VDT to reproduce the detail of the objects. Background pixel exposure due to inflation is suppressed by the use of the foreground region extracted from the input images. Our experimental results have demonstrated that the proposed method can successfully reduce above visual artifacts.
增强现实图像生成与虚拟真实对象使用视图依赖的纹理和几何
具有虚拟真实对象的增强现实(AR)图像可用于各种应用。然而,这样的AR图像生成需要手工制作的物体3D模型,这通常是不可用的。本文提出了一种基于视觉依赖纹理(VDT)和视觉依赖几何(VDG)的生成高质量AR图像的方法,该方法使用多幅图像自动重建的3D模型。由于重建的三维模型通常质量不足,本文提出的方法将深度图中的物体膨胀为VDG来修复碎片化的物体边界,并基于VDT为每个像素分配颜色来重现物体的细节。使用从输入图像中提取的前景区域来抑制由于膨胀引起的背景像素曝光。实验结果表明,该方法可以有效地减少上述视觉伪影。
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