SceneCam: Using AR to improve multi-camera remote collaboration

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

DOI

During multi-camera remote collaboration on physical tasks, as the name implies, multiple cameras capture different areas and perspectives of a task space. It can be challenging for the remote user to obtain the right view of the local user and to understand the spatial relationship between the disjointed views of task space areas. We present SceneCam, a prototype with which we use AR to explore different techniques for improving multi-camera remote collaboration by making optimal camera selection easier and faster for the remote user and by making the spatial relationship between task space areas explicit. To this end, SceneCam implements two camera selection techniques: nudging the remote user to select an optimal camera view of the local user, and automatic selection of an optimal camera view of the local user. Furthermore, SceneCam provides the remote user with two focus-in-context views - exocentric and egocentric views - that visualize the spatial relationship between the multiple task space areas and the local user.

Original languageEnglish
Title of host publicationSIGGRAPH Asia 2019 XR, SA 2019
Number of pages2
PublisherAssociation for Computing Machinery
Publication yearNov 2019
Pages36-37
ISBN (Electronic)9781450369473
DOIs
Publication statusPublished - Nov 2019
EventSIGGRAPH Asia 2019 XR - International Conference on Computer Graphics and Interactive Techniques, SA 2019 - Brisbane, Australia
Duration: 17 Nov 201920 Nov 2019

Conference

ConferenceSIGGRAPH Asia 2019 XR - International Conference on Computer Graphics and Interactive Techniques, SA 2019
LandAustralia
ByBrisbane
Periode17/11/201920/11/2019
SponsorACM Special Interest Group on Computer Graphics and Interactive Techniques (SIGGRAPH)

    Research areas

  • Augmented reality, Multiple cameras, Remote collaboration

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