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dc.contributor.authorFountain, Jakeen_US
dc.contributor.authorSmith, Shamus P.en_US
dc.contributor.editorRobert W. Lindeman and Gerd Bruder and Daisuke Iwaien_US
dc.date.accessioned2017-11-21T15:42:35Z
dc.date.available2017-11-21T15:42:35Z
dc.date.issued2017
dc.identifier.isbn978-3-03868-038-3
dc.identifier.issn1727-530X
dc.identifier.urihttp://dx.doi.org/10.2312/egve.20171331
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/egve20171331
dc.description.abstractCross-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.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectTracking
dc.subjectCamera calibration
dc.subjectComputer systems organization
dc.subjectReal
dc.subjecttime system architecture
dc.subjectSoftware and its engineering
dc.subjectSoftware libraries and repositories
dc.titleReal-time Ambient Fusion of Commodity Tracking Systems for Virtual Realityen_US
dc.description.seriesinformationICAT-EGVE 2017 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments
dc.description.sectionheadersTracking
dc.identifier.doi10.2312/egve.20171331
dc.identifier.pages1-8


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