Please use this identifier to cite or link to this item: https://doi.org/10.1109/TIE.2007.895134
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dc.titleCombined wireless hardware and real-time computer vision interface for tangible mixed reality
dc.contributor.authorCheok, A.D.
dc.contributor.authorQiu, Y.
dc.contributor.authorXu, K.
dc.contributor.authorKumar, K.G.
dc.date.accessioned2014-06-17T02:41:54Z
dc.date.available2014-06-17T02:41:54Z
dc.date.issued2007-08
dc.identifier.citationCheok, A.D., Qiu, Y., Xu, K., Kumar, K.G. (2007-08). Combined wireless hardware and real-time computer vision interface for tangible mixed reality. IEEE Transactions on Industrial Electronics 54 (4) : 2174-2189. ScholarBank@NUS Repository. https://doi.org/10.1109/TIE.2007.895134
dc.identifier.issn02780046
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/55333
dc.description.abstractRecent advances in technology enable portable, even wearable, computers to be equipped with wireless interfaces, which allows data transactions even while mobile. Combined with mixed reality (MR), mobile computing exploits a promising field for wearable computers. Natural and nonobtrusive means of interaction call for new devices, which should be simple to use, and provide effective tracking methods in unprepared environments for MR. In this paper, a new interaction hardware tilt pad designed using accelerometers and wireless devices is introduced. This is combined with two new natural feature-tracking algorithms based on geometrical image constraints. The first is based on epipolar geometry and provides a general description of the constraints on image flow between two static scenes. The second is based on the calculation of a homography relationship between the current frame and a stored representation of the scene. We assessed these algorithms compared with the current optical flow calculation algorithm across a number of criteria including robustness, speed, and accuracy. Finally, we demonstrated an MR computer game application combining the new tracking method and the hardware tilt pad. Videos of the tilt pad and application of tilt pad Pacman game can be found at the web site: http://www.mixedrealitylab.org. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TIE.2007.895134
dc.sourceScopus
dc.subjectGames
dc.subjectMachine vision
dc.subjectTactile sensors
dc.subjectVirtual reality (VR)
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TIE.2007.895134
dc.description.sourcetitleIEEE Transactions on Industrial Electronics
dc.description.volume54
dc.description.issue4
dc.description.page2174-2189
dc.description.codenITIED
dc.identifier.isiut000248611800036
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