Skip to main content
SpringerLink
Log in

ARPPS: Augmented Reality Pipeline Prospect System

  • Conference paper
  • First Online:
Neural Information Processing (ICONIP 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9492))

Included in the following conference series:

Abstract

Outdoor augmented reality geographic information system (ARGIS) is the hot application of augmented reality over recent years. This paper concludes the key solutions of ARGIS, designs the mobile augmented reality pipeline prospect system (ARPPS), and respectively realizes the machine vision based pipeline prospect system (MVBPPS) and the sensor based pipeline prospect system (SBPPS). With the MVBPPS’s realization, this paper studies the neural network based 3D features matching method.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Wang, K., Zhou, X., Chen, H., Lang, M., Raicu, I.: Next generation job management systems for extreme-scale ensemble computing. In: Proceedings of the 23rd International Symposium on High-performance Parallel and Distributed Computing, pp. 111–114. ACM, Vancouver, BC, Canada (2014)

    Google Scholar 

  2. Li, T., Zhou, X., Brandstatter, K., Raicu, I.: Distributed key-value store on HPC and cloud systems. In: 2nd Greater Chicago Area System Research Workshop (GCASR). Citeseer (2013)

    Google Scholar 

  3. Lv, Z., Esteve, C., Chirivella, J., Gagliardo, P.: A game based assistive tool for rehabilitation of dysphonic patients. arXiv preprint arXiv:1504.01030 (2015)

  4. Lv, Z., Réhman, S.U., Chen, G.: WebVRGIS: A P2P network engine for VR data and GIS analysis. In: Lee, M., Hirose, A., Hou, Z.-G., Kil, R.M. (eds.) ICONIP 2013. LNCS, vol. 8226, pp. 503–510. Springer, Heidelberg (2013)

    Chapter  Google Scholar 

  5. Azuma, R.T.: A survey of augmented reality. Presence 6, 355–385 (1997)

    Article  Google Scholar 

  6. Zlatanova, S.: Augmented reality technology. Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Geodesy, Section GIS Technology (2002)

    Google Scholar 

  7. King, G.R., Piekarski, W., Thomas, B.H.: ARVino-outdoor augmented reality visualisation of viticulture GIS data. In: 2005 Proceedings of Fourth IEEE and ACM International Symposium on Mixed and Augmented Reality, pp. 52–55. IEEE (2005)

    Google Scholar 

  8. Min, S., Mei, L., Feizhou, Z., Zhipeng, W., Daozheng, W.: Hybrid tracking for augmented reality GIS registration. In: Japan-China Joint Workshop on Frontier of Computer Science and Technology, FCST 2007, pp. 139–145. IEEE (2007)

    Google Scholar 

  9. Guo, Y., Qingyun, Y.L., Zhang, W., Xu, L.: Application of augmented reality GIS in architecture. Int. Arch. Photogrammetry Remote Sens. Spat. Inf. Sci. 37, 331–336 (2008)

    Google Scholar 

  10. Roberts, G.W., Evans, A., Dodson, A., Denby, B., Cooper, S., Hollands, R.: The use of augmented reality, GPS and INS for subsurface data visualization. In: FIG XXII International Congress, pp. 1–12 (2002)

    Google Scholar 

  11. Schall, G., Mendez, E., Kruijff, E., Veas, E., Junghanns, S., Reitinger, B., Schmalstieg, D.: Handheld augmented reality for underground infrastructure visualization. Pers. Ubiquit. Comput. 13, 281–291 (2009)

    Article  Google Scholar 

  12. Schall, G., Mulloni, A., Reitmayr, G.: North-centred orientation tracking on mobile phones. In: 2010 9th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 267–268. IEEE (2010)

    Google Scholar 

  13. Schall, G., Zollmann, S., Reitmayr, G.: Smart vidente: advances in mobile augmented reality for interactive visualization of underground infrastructure. Pers. Ubiquit. Comput. 17, 1533–1549 (2013)

    Article  Google Scholar 

  14. Langlotz, T., Degendorfer, C., Mulloni, A., Schall, G., Reitmayr, G., Schmalstieg, D.: Robust detection and tracking of annotations for outdoor augmented reality browsing. Comput. Graph. 35, 831–840 (2011)

    Article  Google Scholar 

  15. Schall, G., Mulloni, A., Reitmayr, G.: North-centred orientation tracking on mobile phones. In: 2010 9th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), pp. 267–268. IEEE (2010)

    Google Scholar 

  16. Behzadan, A.H., Kamat, V.R.: Interactive augmented reality visualization for improved damage prevention and maintenance of underground infrastructure. In: Proceedings of the 2009 Construction Research Congress, Seattle, WA, pp. 1214–1222 (2014)

    Google Scholar 

  17. Yin, T., Han, Y., Chen, Y., Chen, G.: WebVR——web virtual reality engine based on P2P network. J. Netw. 6, 990–998 (2011)

    Google Scholar 

  18. Lv, Z., Halawani, A., Feng, S., Li, H., Réhman, S.U.: Multimodal hand and foot gesture interaction for handheld devices. ACM Trans. Multimedia Comput. Commun. Appl. (TOMM) 11, 10 (2014)

    Google Scholar 

  19. Lv, Z., Halawani, A., Fen, S., Li, H.: Touch-less Interactive Augmented Reality Game on Vision Based Wearable Device. arXiv preprint arXiv:1504.06359 (2015)

  20. Klein, G., Murray, D.: Parallel tracking and mapping on a camera phone. In: 2009 8th IEEE International Symposium on Mixed and Augmented Reality, ISMAR 2009, pp. 83–86. IEEE (2009)

    Google Scholar 

  21. Castle, R., Klein, G., Murray, D.W.: Video-rate localization in multiple maps for wearable augmented reality. In: 2008 12th IEEE International Symposium on Wearable Computers, ISWC 2008, pp. 15–22. IEEE (2008)

    Google Scholar 

  22. Chen, L., Aihara, K.: Chaotic simulated annealing by a neural network model with transient chaos. Neural Netw. 8, 915–930 (1995)

    Article  Google Scholar 

  23. Hopfield, J.J., Tank, D.W.: “Neural” computation of decisions in optimization problems. Biol. Cybern. 52, 141–152 (1985)

    MathSciNet  MATH  Google Scholar 

  24. Li, X., Chen, D.: Augmented reality in e-commerce with markerless tracking. In: 2010 The 2nd IEEE International Conference on Information Management and Engineering (ICIME), pp. 609–613. IEEE (2010)

    Google Scholar 

  25. Robertson, D., Cipolla, R.: Structure from motion. In: Practical image processing and computer vision. John Wiley, Hoboken, NJ, USA 49 (2009)

    Google Scholar 

  26. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 60, 91–110 (2004)

    Article  Google Scholar 

  27. Muja, M., Lowe, D.G.: Fast approximate nearest neighbors with automatic algorithm configuration. In: VISAPP, vol. 1, p. 2 (2009)

    Google Scholar 

  28. Richard, H., Andrew, Z.: Multiple View Geometry in Computer Vision. Cambridge University Press, New York (2003). ISBN 521, 8

    MATH  Google Scholar 

  29. Brown, M., Lowe, D.G.: Automatic panoramic image stitching using invariant features. Int. J. Comput. Vision 74, 59–73 (2007)

    Article  Google Scholar 

  30. Yousefi, S., Kondori, F.A., Li, H.: 3D gestural interaction for stereoscopic visualization on mobile devices. In: Real, P., Diaz-Pernil, D., Molina-Abril, H., Berciano, A., Kropatsch, W. (eds.) CAIP 2011, Part II. LNCS, vol. 6855, pp. 555–562. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  31. Milette, G., Stroud, A.: Professional Android Sensor Programming. Wiley, Indianapolis (2012)

    Google Scholar 

  32. Ruiz-Ruiz, A.J., Lopez-de-Teruel, P.E., Canovas, O.: A multisensor LBS using SIFT-based 3D models. In: 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp. 1–10. IEEE (2012)

    Google Scholar 

  33. Yang, Y., Pintus, R., Rushmeier, H., Ivrissimtzis, I.: A steganalytic algorithm for 3D polygonal meshes. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 4782–4786. IEEE (2014)

    Google Scholar 

  34. Zhao, D., Zhang, Z., Zhou, X., Li, T., Wang, K., Kimpe, D., Carns, P., Ross, R., Raicu, I.: FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems. In: 2014 IEEE International Conference on Big Data (Big Data), pp. 61–70. IEEE (2014)

    Google Scholar 

  35. Yang, Y., Pintus, R., Rushmeier, H., Ivrissimtzis, I.: A steganalytic algorithm for 3D polygonal meshes. In: 2014 IEEE International Conference on Image Processing (ICIP), pp. 4782–4786. IEEE (2014)

    Google Scholar 

  36. Yang, Y., Peyerimhoff, N., Ivrissimtzis, I.: Linear correlations between spatial and normal noise in triangle meshes. IEEE Trans. Visualization Comput. Graphics 19, 45–55 (2013)

    Article  Google Scholar 

  37. Yang, Y., Ivrissimtzis, I.: Polygonal mesh watermarking using Laplacian coordinates. In: Computer Graphics Forum, pp. 1585–1593. Wiley Online Library (2010)

    Google Scholar 

  38. Jiang, D., Ying, X., Han, Y., Lv, Z.: Collaborative multi-hop routing in cognitive wireless networks. Wireless Pers. Commun. (2015)

    Google Scholar 

  39. Wang, K., et al. Optimizing load balancing and data-locality with data-aware scheduling. In: 2014 IEEE International Conference on Big Data (Big Data). IEEE (2014)

    Google Scholar 

  40. Li, T., et al.: ZHT: A light-weight reliable persistent dynamic scalable zero-hop distributed hash table. In: 2013 IEEE 27th International Symposium on Parallel & Distributed Processing (IPDPS). IEEE (2013)

    Google Scholar 

  41. Zhou, X., et al.: Exploring Distributed Resource Allocation Techniques in the SLURM Job Management System. Illinois Institute of Technology, Department of Computer Science, Technical Report (2013)

    Google Scholar 

  42. Su, Y., et al.: In-situ bitmaps generation and efficient data analysis based on bitmaps. In: Proceedings of the 24th International Symposium on High-performance Parallel and Distributed Computing, pp. 61–72. ACM (2015)

    Google Scholar 

  43. Yang, J., He, S., Lin, Y., Lv, Z.: Multimedia cloud transmission and storage system based on internet of things. Multimedia Tools and Applications (2016)

    Google Scholar 

  44. Wang, Y., Su, Y., Agrawal, G.: A novel approach for approximate aggregations over arrays. In: Proceedings of the 27th International Conference on Scientific and Statistical Database Management. ACM (2015)

    Google Scholar 

  45. Wang, K., et al.: Using simulation to explore distributed key-value stores for exascale system services. In: 2nd Greater Chicago Area System Research Workshop (GCASR) (2013)

    Google Scholar 

  46. Ou, W., Lv, Z., Xie, Z.: Spatially regularized latent topic model for simultaneous object discovery and segmentation. In: The 2015 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015) (2015)

    Google Scholar 

  47. Lin, Y., Yang, J., Lv, Z., Wei, W., Song, H.: A self-assessment stereo capture model applicable to the internet of things. Sensors 15(8), 20925–20944 (2015)

    Article  Google Scholar 

  48. Chen, Z., Huang, W., Lv, Z.: Uncorrelated discriminant sparse preserving projection based face recognition method. Multimedia Tools and Applications (2016)

    Google Scholar 

  49. Gu, W., Lv, Z., Hao, M.: Change detection method for remote sensing images based on an improved Markov random field. Multimedia Tools and Applications (2016)

    Google Scholar 

  50. Zhang, S., Zhang, X., Ou, X.: After we knew it: empirical study and modeling of cost-effectiveness of exploiting prevalent known vulnerabilities across IaaS cloud. In: Proceedings of the 9th ACM Symposium on Information, Computer and Communications Security. ACM (2014)

    Google Scholar 

  51. Wang, K., et al.: Overcoming hadoop scaling limitations through distributed task execution. In: Proceedings of the IEEE International Conference on Cluster Computing (2015)

    Google Scholar 

  52. Dang, S., Ju, J., Matthews, D., Feng, X., Zuo, C.. Efficient solar power heating system based on lenticular condensation. In: 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE) (2014)

    Google Scholar 

  53. Yang, J., Chen, B., Zhou, J., Lv, Z.: A portable biomedical device for respiratory monitoring with a stable power source. Sensors 15(8), (2015)

    Google Scholar 

  54. Wang, K., et al.: Towards scalable distributed workload manager with monitoring-based weakly consistent resource stealing. In: Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing (2015)

    Google Scholar 

  55. Zhang, X., et al.: Spike-based indirect training of a spiking neural network-controlled virtual insect. In: 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE (2013)

    Google Scholar 

  56. Su, T., Wang, W., Lv, Z., Wu, W., Li, X.: Rapid delaunay triangulation for random distributed point cloud data using adaptive hilbert curve. Comput. Graph. 54, 65–74 (2015)

    Article  Google Scholar 

Download references

Acknowledgements

This research is supported by Innovation Fund for Technology Based Firms, China (No: 14c26211100180) and Qingdao science and technology project of China (No: 14-9-2-12-pt).

Author information

Authors and Affiliations

  1. Engineering Research Center of Marine Information Technology, College of Information Science and Engineering, Ocean University of China, Qingdao, People’s Republic of China

    Xiaolei Zhang, Yong Han & DongSheng Hao

  2. Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen, People’s Republic of China

    Zhihan Lv

Authors
  1. Xiaolei Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yong Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. DongSheng Hao
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhihan Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yong Han .

Editor information

Editors and Affiliations

  1. University of Istanbul, Istanbul, Turkey

    Sabri Arik

  2. University at Qatar, Doha, Qatar

    Tingwen Huang

  3. Tunku Abdul Rahman University College, Kuala Lumpur, Malaysia

    Weng Kin Lai

  4. University of Science Technology, Wuhan, China

    Qingshan Liu

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhang, X., Han, Y., Hao, D., Lv, Z. (2015). ARPPS: Augmented Reality Pipeline Prospect System. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9492. Springer, Cham. https://doi.org/10.1007/978-3-319-26561-2_76

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-26561-2_76

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26560-5

  • Online ISBN: 978-3-319-26561-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation