Abstract
For markerless indoor Augmented Reality Navigation (ARN) technology, camera pose is inevitably the fundamental argument of positioning estimation and pose estimation, and floor plane is indispensably the fiducial target of image registration. This paper proposes optical-flow-scene indoor positioning and wall-floor-boundary image registration to make ARN more precise, reliable, and instantaneous. Experimental results show both optical-flow-scene indoor positioning and wall-floor-boundary image registration have higher accuracy and less latency than conventional well-known ARN methods. On the other hand, these proposed two methods are seamlessly implemented on the handheld Android embedded platform and are smoothly verified to work well on the handheld indoor augmented reality navigation device.
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This work was supported in part by Ministry of Science and Technology, Taiwan, under Grant MOST 106-2221-E-224-053.
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Lin, WS., Ho, C.C. (2019). Markerless Indoor Augmented Reality Navigation Device Based on Optical-Flow-Scene Indoor Positioning and Wall-Floor-Boundary Image Registration. In: Chang, CY., Lin, CC., Lin, HH. (eds) New Trends in Computer Technologies and Applications. ICS 2018. Communications in Computer and Information Science, vol 1013. Springer, Singapore. https://doi.org/10.1007/978-981-13-9190-3_10
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DOI: https://doi.org/10.1007/978-981-13-9190-3_10
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