Skip to main content
SpringerLink
Log in
SpringerLink
Log in

Interactive Application Using Augmented Reality and Photogrammetric Scanning

  • Chapter
  • First Online:
Advanced Technologies in Practical Applications for National Security

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 106))

  • 985 Accesses

Abstract

The aim of the article is to present augmented reality as an innovative technology used to create interactive applications. As part of the work there was created a computer game based on the three-dimensional image reconstruction technique. Achieving of the effect of augmented reality in application requires the use of techniques for mapping real objects into their virtual, three-dimensional representation. The following topics were discussed: methodology photogrammetric scanning, algorithms for three-dimensional reconstruction of the scene, processing of graphic objects, computer modeling, synchronization of the reconstructed world with virtual elements, and user interaction with a reconstructed scenery. The article presents implementation of an innovative approach to the topic of computer games based on stereovision. Both stereovision algorithms and the implemented code have been tested and analyzed for optimality, effectiveness. Implemented application can be widely used in various types of systems and training simulators. Reconstructed using stereovision scenery allows the user to explore places difficult to reach or dangerous in the real world. The work showed a spectrum of problems associated with the different phases of creating applications based on augmented reality.

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 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 179.99
Price excludes VAT (USA)
  • Durable hardcover 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. Bieda, R., Jaskot, K., Jędrasiak, K., & Nawrat, A. (2013). Recognition and location of objects in the visual field of a UAV vision system. In: Vision based systems for UAV applications (pp. 27–45). Springer.

    Google Scholar 

  2. Babiarz, A., Bieda, R., & Jaskot, K. (2013). Vision system for group of mobile robots. In Vision based systems for UAV applications (pp. 139–156). Springer.

    Google Scholar 

  3. Kus, Z., & Nawrat, A. (2013). Object tracking in a picture during rapid camera movements. In Vision based systems for UAV applications (pp. 77–91). Springer.

    Google Scholar 

  4. Azuma, R. (1997). A survey of augmented reality. Presence: Teleoperators and Virtual Environments, 6, 355–385.

    Google Scholar 

  5. Milgram, P., Takemura, H., Utsumi, A., & Kishino, F. (1994). Augmented reality: A class of displays on the reality-virtuality continuum Vol. 2351, pp. 282–292). SPIE.

    Google Scholar 

  6. Daniec, K., Jedrasiak, K., Koteras, R., & Nawrat, A. (2013). Embedded micro inertial navigation system. In Applied mechanics and materials (Vol. 249, pp. 1234–1246). Trans Tech Publications.

    Google Scholar 

  7. Bereska, D., Daniec, K., Fras, S., Jedrasiak, K., Malinowski, M., & Nawrat, A. (2013). System for multi-axial mechanical stabilization of digital camera. In Vision based systems for UAV applications (pp. 177–189). Springer.

    Google Scholar 

  8. Jedrasiak, K., Nawrat, A., Daniec, K., Koteras, R., Mikulski, M., & Grzejszczak, T. (2012). A prototype device for concealed weapon detection using IR and CMOS cameras fast image fusion. In International Conference on Computer Vision and Graphics (pp. 423–432). Berlin: Springer.

    Google Scholar 

  9. Jarusirisawad, S., & Hosokawa, T. (2010). Diminished reality using plane-sweep algorithm with weakly-calibrated cameras. Progress in Informatics, (7), 11–20.

    Google Scholar 

  10. Josinski, H., Switonski, A., Jedrasiak, K., & Kostrzewa, D. (2012). Human identification based on gait motion capture data. In Proceedings of the 2012 International MultiConference of Engineers and Computer Scientists, IMECS (Vol. 12).

    Google Scholar 

  11. Switonski, A., Josinski, H., Jedrasiak, K., Polanski, A., & Wojciechowski, K. (2010). Classification of poses and movement phases. In ICCVG 2010. Lecture Notes in Computer Science. Springer.

    Google Scholar 

  12. Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., & MacIntyre, B. (2001). Recent advances in augmented reality. IEEE Computer Graphics and Applications, 1.

    Google Scholar 

  13. Mann, S., & Fung, J. (2001). Video orbits on eye tap devices for deliberately diminished reality or altering the visual perception of rigid planar patches of a real world scene. In International Symposium on Mixed Reality, March 14–15 2001.

    Google Scholar 

  14. Jeżewski, S., & Jaros, M. (2008). Skanowanie trójwymiarowej przestrzeni pomieszczeń, Katedra Informatyki Stosowanej, Politechnika Łódzka, AUTOMATYKA, Tom 12, Zeszyt 3.

    Google Scholar 

  15. Kraus, K. (2000). Photogrammetry: Geometry from images and laser scans (Vol. 1). New York: Walter de Gruyter GmbH.

    Google Scholar 

  16. Bahadori, S., & Iocchi, L. (2003). A stereo vision system for 3D reconstruction and semi-automatic surveillance of museum areas, 2.

    Google Scholar 

  17. Gilson, S., Fitzgibbon, A., & Glennerster, A. (2005). An automated calibration method for non-see-through head mounted displays. IEEE Transactions on Medical Imaging, 1492–1499.

    Google Scholar 

  18. Jedrasiak, K., Andrzejczak, M., & Nawrat, A. (2014). SETh: The method for long-term object tracking. Computer Vision and Graphics, 8671, 302–315. Lecture Notes in Computer Science, 316.

    Google Scholar 

  19. Ryt, A., Sobel, D., Kwiatkowski, J., Domzal, M., Jedrasiak, K., & Nawrat, A. (2014). Real-time laser point tracking. In International Conference on Computer Vision and Graphics, pp. 542–551. Springer.

    Google Scholar 

  20. Nawrat, A., & Jedrasiak, K. (2008). Fast colour recognition algorithm for robotics. Problemy Eksploatacji, pp. 69–76.

    Google Scholar 

  21. Rolland, J. (2000). Optical versus video see-through head-mounted displays in medical visualization. Presence, 287–309.

    Google Scholar 

  22. Babiarz, A., Bieda, R., Jedrasiak, K., & Nawrat, A. (2013). Machine vision in autonomous systems of detection and location of objects in digital images. In Vision based systems for UAV applications (pp. 3–25). Springer.

    Google Scholar 

  23. Daniec, K., Iwaneczko, P., Jedrasiak, K., & Nawrat, A. (2013). Prototyping the autonomous flight algorithms using the prepar3D® simulator. In Vision based systems for UAV applications, pp. 219–232. Springer.

    Google Scholar 

  24. http://evenamed.com/ (16. 01.2016).

  25. https://classic.urbasee.com/apps.php (16. 01.2016).

  26. Sobel, D., Jedrasiak, K., Daniec, K., Wrona, J., Jurgas, P., & Nawrat, A. (2014). Camera calibration for tracked vehicles augmented reality applications. In Innovative control systems for tracked vehicle platforms (pp. 147–162). Springer.

    Google Scholar 

  27. Bieda, R., Grygiel, R., & Galuszka, A. (2015). Naive Kalman filtering for estimation of spatial object orientation. In Methods and Models in Automation and Robotics (MMAR), pp. 955–960.

    Google Scholar 

  28. Bieda, R., & Grygiel, R. (2014). Wyznaczanie orientacji obiektu w przestrzeni z wykorzystaniem naiwnego filtru Kalmana. Przeglad Elektrotechniczny, 90, 34–41.

    Google Scholar 

  29. http://www.nasa.gov/centers/armstrong/features/fused_reality.html (06.01.2016).

  30. http://www.space.com/16856-mars-rover-curiosity-cameras-vision.html (07.010216).

  31. http://www.123dapp.com (04.01.2016).

  32. http://pointcloud.pl/algorithms/integration (04.01.2016).

  33. Sankowski, D., & Nowakowski, J. (2014). Computer vision in robotics and industrial applications. Singapur: World Scientific Publishing Company Pte Limited.

    Book  Google Scholar 

  34. Hartley, R., & Zisserman, A. (2003). Multiple view geometry in computer vision. United Kingdom: Cambridge University Press.

    MATH  Google Scholar 

  35. Rzeszotarski, D., Strumiłło, P., Pełczyński, P., Więcek, B., & Lorenc, A. (2005). System obrazowania stereoskopowego sekwencji scen trójwymiarowych, Elektronika: prace naukowe, 165–184.

    Google Scholar 

  36. Woods, A., Docherty, T., & Koch, R. (1993). Image distortions in stereoscopic video system, stereoscopic displays and applications IV. Proceedings of the SPIE, 1915. San Jose, CA.

    Google Scholar 

  37. Szkodny, T. (2012). Podstawy Robotyki. Gliwice: Wydawnictwo Politechniki Śląskiej.

    Google Scholar 

  38. Julier, S., Lanzagorta, M., & Baillot, Y. (2000). Information filtering for mobile augmented reality. In Symposium on Augmented Reality, Munich, Germany, pp. 3–11.

    Google Scholar 

  39. Pardel, P. (2009). Przegląd ważniejszych zagadnień rozszerzonej rzeczywistości, Zeszyty Naukowe Politechniki Śląskiej, Seria Informatyka, Volume 30, Number 1 (82), Silesian University of Technology Press, Gliwice 2009.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland

    Karol Jędrasiak, Natalia Hładczuk, Krzysztof Daniec & Aleksander Nawrat

Authors
  1. Karol Jędrasiak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Natalia Hładczuk
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Krzysztof Daniec
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Aleksander Nawrat
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Karol Jędrasiak .

Editor information

Editors and Affiliations

  1. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Aleksander Nawrat

  2. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Damian Bereska

  3. Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland

    Karol Jędrasiak

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this chapter

Cite this chapter

Jędrasiak, K., Hładczuk, N., Daniec, K., Nawrat, A. (2018). Interactive Application Using Augmented Reality and Photogrammetric Scanning. In: Nawrat, A., Bereska, D., Jędrasiak, K. (eds) Advanced Technologies in Practical Applications for National Security. Studies in Systems, Decision and Control, vol 106. Springer, Cham. https://doi.org/10.1007/978-3-319-64674-9_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-64674-9_15

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64673-2

  • Online ISBN: 978-3-319-64674-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation