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

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New Trends in Computer Technologies and Applications (ICS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1013))

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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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References

  1. Kim, J., Jun, H.: Vision-based location positioning using augmented reality for indoor navigation. IEEE Trans. Consum. Electron. 54(3), 954–962 (2008)

    Article  Google Scholar 

  2. Mohareri, O., Rad, A.B.: Autonomous humanoid robot navigation using augmented reality technique. In: Proceedings of 2011 IEEE International Conference on Mechatronics (ICM), pp. 463–468, April 2011

    Google Scholar 

  3. DiVerdi, S., Hollerer, T.: Heads up and camera down: a vision-based tracking modality for mobile mixed reality. IEEE Trans. Visual. Comput. Graphics 14(3), 500–512 (2008)

    Article  Google Scholar 

  4. Hile, H., Borriello, G.: Positioning and orientation in indoor environments using camera phones. IEEE Comput. Graph. Appl. 28(4), 32–39 (2008)

    Article  Google Scholar 

  5. Oskiper, T., Sizintsev, M., Branzoi, V., Samarasekera, S., Kumar, R.: Augmented reality binoculars. IEEE Trans. Visual. Comput. Graphics 21(5), 611–623 (2015)

    Article  Google Scholar 

  6. Cheok, A.D., Yue, L.: A novel light-sensor-based information transmission system for indoor positioning and navigation. IEEE Trans. Instrum. Meas. 60(1), 290–299 (2011)

    Article  Google Scholar 

  7. Hervas, R., Bravo, J., Fontecha, J.: An assistive navigation system based on augmented reality and context awareness for people with mild cognitive impairments. IEEE J. Biomed. Health Inform. 18(1), 368–374 (2014)

    Article  Google Scholar 

  8. Thomas, B.H., Sandor, C.: What wearable augmented reality can do for you. IEEE Pervasive Comput. 8(2), 8–11 (2009)

    Article  Google Scholar 

  9. Comport, A.I., Marchand, E., Pressigout, M., Chaumette, F.: Real-time markerless tracking for augmented reality: the virtual visual servoing framework. IEEE Trans. Visual. Comput. Graphics 12(4), 615–628 (2006)

    Article  Google Scholar 

  10. Lee, T., Hollerer, T.: Multithreaded hybrid feature tracking for markerless augmented reality. IEEE Trans. Visual. Comput. Graphics 15(3), 355–368 (2009)

    Article  Google Scholar 

  11. Kim, Y.-G., Kim, W.-J.: Implementation of augmented reality system for smartphone advertisements. Int. J. Multimed. Ubiquitous Eng. 9(2), 385–392 (2014)

    Article  Google Scholar 

  12. Simon, G., Berger, M.-O.: Pose estimation for planar structures. IEEE Comput. Graph. Appl. 22(6), 46–53 (2002)

    Article  Google Scholar 

  13. Prince, S.J.D., Xu, K., Cheok, A.D.: Augmented reality camera tracking with homographies. IEEE Comput. Graph. Appl. 22(6), 39–45 (2002)

    Article  Google Scholar 

  14. Maidi, M., Preda, M., Le, V.H.: Markerless tracking for mobile augmented reality. In: Proceedings of IEEE International Conference on Signal and Image Processing Applications, pp. 301–306, November 2011

    Google Scholar 

  15. Barcelo, G.C., Panahandeh, G., Jansson, M.: Image-based floor segmentation in visual inertial navigation. In: Proceedings of IEEE International Instrumentation and Measurement Technology Conference (I2MTC), pp. 1402–1407, May 2013

    Google Scholar 

  16. Ling, M., Jianming, W., Bo, Z., Shengbei, W.: Automatic floor segmentation for indoor robot navigation. In: Proceedings of International Conference on Signal Processing Systems (ICSPS), vol. 1, pp. V1-684–V1-689, July 2010

    Google Scholar 

  17. Posada, L.F., Narayanan, K.K., Hoffmann, F., Bertram, T.: Floor segmentation of omnidirectional images for mobile robot visual navigation. In: Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 804–809, October 2010

    Google Scholar 

  18. Rodriguez-Telles, F.G., Abril Torres-Mendez, L., Martinez-Garcia, E.A.: A fast floor segmentation algorithm for visual-based robot navigation. In: Proceedings of International Conference on Computer and Robot Vision (CRV), pp. 167–173, May 2013

    Google Scholar 

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Acknowledgments

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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Authors and Affiliations

  1. Graduate School of Vocation and Technological Education, National Yunlin University of Science and Technology, Douliou, Yunlin County, 64002, Taiwan

    Wen-Shan Lin

  2. Department of Electrical Engineering, National Yunlin University of Science and Technology, Douliou, Yunlin County, 64002, Taiwan

    Chian C. Ho

Authors
  1. Wen-Shan Lin
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  2. Chian C. Ho
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Correspondence to Chian C. Ho .

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Editors and Affiliations

  1. National Yunlin University of Science and Technology, Douliu, Taiwan

    Chuan-Yu Chang

  2. National Yunlin University of Science and Technology, Douliu, Taiwan

    Chien-Chou Lin

  3. Southern Taiwan University of Science and Technology, Tainan, Taiwan

    Horng-Horng Lin

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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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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-9189-7

  • Online ISBN: 978-981-13-9190-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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