Real-time Ambient Fusion of Commodity Tracking Systems for Virtual Reality
| dc.contributor.author | Fountain, Jake | en_US |
| dc.contributor.author | Smith, Shamus P. | en_US |
| dc.contributor.editor | Robert W. Lindeman and Gerd Bruder and Daisuke Iwai | en_US |
| dc.date.accessioned | 2017-11-21T15:42:35Z | |
| dc.date.available | 2017-11-21T15:42:35Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Cross-compatibility of virtual reality devices is limited by the difficulty of alignment and fusion of data between systems. In this paper, a plugin for ambiently aligning the reference frames of virtual reality tracking systems is presented. The core contribution consists of a procedure for ambient calibration. The procedure describes ambient behaviors for data gathering, system calibration and fault detection. Data is ambiently collected from in-application self-directed movements, and calibration is automatically performed between dependent sensor systems. Sensor fusion is then performed by taking the most accurate data for a given body part amongst all systems. The procedure was applied to aligning a Kinect v2 with an HTC Vive and an Oculus Rift in a variety of common virtual reality scenarios. The results were compared to alignment performed with a gold standard OptiTrack motion capture system. Typical results were 20cm and 4 of error compared to the ground truth, which compares favorably with the accepted accuracy of the Kinect v2. Data collection for full calibration took on average 13 seconds of inapplication, self-directed movement. This work represents an essential development towards plug-and-play sensor fusion for virtual reality technology. | en_US |
| dc.description.sectionheaders | Tracking | |
| dc.description.seriesinformation | ICAT-EGVE 2017 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments | |
| dc.identifier.doi | 10.2312/egve.20171331 | |
| dc.identifier.isbn | 978-3-03868-038-3 | |
| dc.identifier.issn | 1727-530X | |
| dc.identifier.pages | 1-8 | |
| dc.identifier.uri | https://doi.org/10.2312/egve.20171331 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egve20171331 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Computing methodologies | |
| dc.subject | Tracking | |
| dc.subject | Camera calibration | |
| dc.subject | Computer systems organization | |
| dc.subject | Real | |
| dc.subject | time system architecture | |
| dc.subject | Software and its engineering | |
| dc.subject | Software libraries and repositories | |
| dc.title | Real-time Ambient Fusion of Commodity Tracking Systems for Virtual Reality | en_US |