RemoteFusion: real time depth camera fusion for remote collaboration on physical tasks

作者: Matt Adcock , Stuart Anderson , Bruce Thomas

DOI: 10.1145/2534329.2534331

关键词:

摘要: Remote guidance systems allow humans to collaborate on physical tasks across large distances and have applications in fields such as medicine, maintenance working with hazardous substances. Existing typically provide two dimensional video streams remote participants, these are restricted viewpoint locations based the placement of cameras. Recent incorporated ability a expert annotate their 2D view for annotations be displayed workspace local worker. We present prototype system, called RemoteFusion, which is volumetric fusion commodity depth The system incorporates real-time 3D color, distinguish render dynamic elements scene whether human or non-human, multi-touch driven free viewpoint, Spatial Augmented Reality (SAR) light annotation mechanism. overview including hardware software configuration, detail implementation each key features.

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