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Design of Instruction Analyzer with Semantic-Based Loop Unrolling Mechanism in the Hyperscalar Architecture Read chapter Read first chapter

2019 | OriginalPaper | Chapter

Markerless Indoor Augmented Reality Navigation Device Based on Optical-Flow-Scene Indoor Positioning and Wall-Floor-Boundary Image Registration

Authors : Wen-Shan Lin, Chian C. Ho

Published in: New Trends in Computer Technologies and Applications

Publisher: Springer Singapore

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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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previous chapter Deep Residual Neural Network Design for Super-Resolution Imaging
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Metadata
Title
Markerless Indoor Augmented Reality Navigation Device Based on Optical-Flow-Scene Indoor Positioning and Wall-Floor-Boundary Image Registration
Authors
Wen-Shan Lin
Chian C. Ho
Copyright Year
2019
Publisher
Springer Singapore
Book
New Trends in Computer Technologies and Applications

Print ISBN: 978-981-13-9189-7

Electronic ISBN: 978-981-13-9190-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-9190-3_10

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