| dc.contributor.author | Ichikari, Ryosuke | en_US |
| dc.contributor.author | Kurata, Takeshi | en_US |
| dc.contributor.author | Makita, Koji | en_US |
| dc.contributor.author | Taketomi, Takafumi | en_US |
| dc.contributor.author | Uchiyama, Hideaki | en_US |
| dc.contributor.author | Kondo, Tomotsugu | en_US |
| dc.contributor.author | Mori, Shohei | en_US |
| dc.contributor.author | Shibata, Fumihisa | en_US |
| dc.contributor.editor | Robert W. Lindeman and Gerd Bruder and Daisuke Iwai | en_US |
| dc.date.accessioned | 2017-11-21T15:43:11Z | |
| dc.date.available | 2017-11-21T15:43:11Z | |
| dc.date.issued | 2017 | |
| dc.identifier.isbn | 978-3-03868-038-3 | |
| dc.identifier.issn | 1727-530X | |
| dc.identifier.uri | http://dx.doi.org/10.2312/egve.20171363 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20171363 | |
| dc.description.abstract | This 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.publisher | The Eurographics Association | en_US |
| dc.subject | Human | |
| dc.subject | centered computing | |
| dc.subject | Mixed/augmented reality | |
| dc.title | Reference Framework on vSRT-method Benchmarking for MAR | en_US |
| dc.description.seriesinformation | ICAT-EGVE 2017 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments | |
| dc.description.sectionheaders | Graphics & Metrics | |
| dc.identifier.doi | 10.2312/egve.20171363 | |
| dc.identifier.pages | 229-236 | |
