Augmented Reality Remote Collaboration with Dense Reconstruction

Augmented Reality Remote Collaboration with Dense Reconstruction
复制标题

增强现实远程协作与密集重建

DOI:
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发表时间:
2018
期刊:
2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
影响因子:
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通讯作者:
Daniel Wagner
Daniel Wagner
中科院分区:
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文献类型:
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作者:
Jakob Zillner;Erick Méndez;Daniel Wagner

文献摘要

被引文献

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本文描述了一种增强现实远程协作系统,该系统利用高保真、密集的场景重建来实现直观和精确的远程导航。需要帮助的当地工人可以使用我们的系统自动生成周围环境的3D网格,并将其传输给远程专家。远程专家可以在六个自由度中独立于本地工人导航和探索重建的环境。世界稳定的文本和图像注释可以放置在场景中,绘制在表面上的笔划可以智能地定位在世界中。此外,重建允许远程专家从网格中分割彩色对象,并使用生成的3D模型来创建简单的动画,以便传达精确的指令。
This paper describes an Augmented Reality remote collaboration system leveraging high-fidelity, dense scene reconstruction for intuitive and precise remote guidance. A local worker in need of help can use our system to automatically generate a 3D mesh of the surrounding and stream it to a remote expert. The remote expert can navigate and explore the reconstructed environment independently of the local worker in six degrees of freedom. World-stabilized text- and image-annotations can be placed in the scene and strokes drawn on surfaces are intelligently positioned in the world. In addition, the reconstruction allows the remote expert to segment colored objects from the mesh and use the resulting 3D model to create simple animations in order to convey precise instructions.