Supporting Volumetric Data Visualization and Analysis by Combining Augmented Reality Visuals with Multi-Touch Input

dc.contributor.authorSereno, Mickaelen_US
dc.contributor.authorBesançon, Lonnien_US
dc.contributor.authorIsenberg, Tobiasen_US
dc.contributor.editorMadeiras Pereira, João and Raidou, Renata Georgiaen_US
dc.date.accessioned2019-06-02T18:21:11Z
dc.date.available2019-06-02T18:21:11Z
dc.date.issued2019
dc.description.abstractWe present our vision and steps toward implementing a collaborative 3D data analysis tool based on wearable Augmented Reality Head-Mounted Display (AR-HMD). We envision a hybrid environment which combines such AR-HMD devices with multi-touch devices to allow multiple collaborators to visualize and jointly discuss volumetric datasets. The multi-touch devices permit users to manipulate the datasets' states, either publicly or privately, while also proposing means for 2D input for, e. g., drawing annotations. The headsets allow each user to visualize the dataset in physically correct perspective stereoscopy, either in public or in their private space. The public space is viewed by all, with modifications shared in real-time. The private space allows each user to investigate the same dataset with their own preferences, for instance, with a different clipping range. The user can later decide to merge their private space with the public one or cancel the changes.en_US
dc.description.sectionheadersPosters
dc.description.seriesinformationEuroVis 2019 - Posters
dc.identifier.doi10.2312/eurp.20191136
dc.identifier.isbn978-3-03868-088-8
dc.identifier.pages21-23
dc.identifier.urihttps://doi.org/10.2312/eurp.20191136
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurp20191136
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectScientific visualization
dc.subjectInteraction techniques
dc.subjectSynchronous editors
dc.titleSupporting Volumetric Data Visualization and Analysis by Combining Augmented Reality Visuals with Multi-Touch Inputen_US
Files
Original bundle
Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
021-023.pdf
Size:
2.78 MB
Format:
Adobe Portable Document Format
No Thumbnail Available
Name:
2127-file1.mp4
Size:
4.8 MB
Format:
Unknown data format