Reference Framework on vSRT-method Benchmarking for MAR

dc.contributor.authorIchikari, Ryosukeen_US
dc.contributor.authorKurata, Takeshien_US
dc.contributor.authorMakita, Kojien_US
dc.contributor.authorTaketomi, Takafumien_US
dc.contributor.authorUchiyama, Hideakien_US
dc.contributor.authorKondo, Tomotsuguen_US
dc.contributor.authorMori, Shoheien_US
dc.contributor.authorShibata, Fumihisaen_US
dc.contributor.editorRobert W. Lindeman and Gerd Bruder and Daisuke Iwaien_US
dc.date.accessioned2017-11-21T15:43:11Z
dc.date.available2017-11-21T15:43:11Z
dc.date.issued2017
dc.description.abstractThis paper presents a reference framework on benchmarking of vision-based spatial registration and tracking (vSRT) methods for Mixed and Augmented Reality (MAR). This framework can provide typical benchmarking processes, benchmark indicators, and trial set elements that are necessary to successfully identify, define, design, select, and apply benchmarking of vSRT methods for MAR. In addition, we summarize findings from benchmarking activities for sharing how to organize and conduct on-site and off-site competition.en_US
dc.description.sectionheadersGraphics & Metrics
dc.description.seriesinformationICAT-EGVE 2017 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.identifier.doi10.2312/egve.20171363
dc.identifier.isbn978-3-03868-038-3
dc.identifier.issn1727-530X
dc.identifier.pages229-236
dc.identifier.urihttps://doi.org/10.2312/egve.20171363
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20171363
dc.publisherThe Eurographics Associationen_US
dc.subjectHuman
dc.subjectcentered computing
dc.subjectMixed/augmented reality
dc.titleReference Framework on vSRT-method Benchmarking for MARen_US
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
229-236.pdf
Size:
1023.7 KB
Format:
Adobe Portable Document Format
Collections