Abstract
Although man has become sedentary over time, his wish to travel the world remains as strong as ever. The aim of this paper is to show how techniques based on imagery and Augmented Reality (AR) can prove to be of great help when discovering a new urban environment and observing the evolution of the natural environment. The study’s support is naturally the Smartphone which in just a few years has become our most familiar device, which we take with us practically everywhere we go in our daily lives. In this chapter, we discuss technical issues of augmented reality. We deal especially with building recognition. Our building recognition method is based on an efficient hybrid approach, which combines the potentials of SURF features points and features lines. Our method relies on ANNS (Approximate Nearest Neighbors Search) approach, described by Muja et al. [11]. ANNS approaches are known for their speed but they are less accurate than linear algorithms. To assure an optimal trade-off between speed and accuracy, the proposed method performs a filtering step on the top of the Approximate Nearest Neighbors Search. At the last step, our method calls Hausdorff measure [15] with line models.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Azuma, R.: A survey of augmented reality. Presence: Teleoperators and Virtual Environments 6(4), 355–385 (1997)
McGookin, D., Brewster, S., Priego, P.: AudioBubbles: Employing Non-speech Audio to Support Tourist Wayfinding. In: Altinsoy, M.E., Jekosch, U., Brewster, S. (eds.) HAID 2009. LNCS, vol. 5763, pp. 41–50. Springer, Heidelberg (2009)
Kanbara, M., Okuma, T., Takemura, H., Yokoya, N.: A Stereoscopic Video See-through Augmented Reality System Based on Real-time Vision-based Registration. In: Proceedings of the IEEE Virtual Reality Conference, pp. 255–262. IEEE Computer Society (March 2000)
Hollerer, T.H., Feiner, S.K.: Mobile Augmented Reality. In: Karimi, H., Hammad, A. (eds.) Chapter Nine in book Telegeoinformatics: Location-Based Computing and Services. Taylor & Francis Books Ltd. (January 2004)
Bimber, O., Raskar, R.: Spatial Augmented Reality: Merging Real andVirtual Worlds. A K Peters, Ltd. (2005)
Cieutat, J.M., Hugues, O., Ghouaiel, N.: Active Learning based on the use of Augmented Reality Outline of Possible Applications. International Journal of Computer Applications 46(20), 31–36 (2012)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the Alvey Vision Conference, pp. 147–151 (1988)
Lowe, D.: Distinctive image features from scale-invariant keypoints, cascade _ltering approach. IJCV 60(2), 91–110 (2004)
Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). Computer Vision Image Understanding 110(3), 346–359 (2008)
Feiner, S., Macintyre, B., Höllerer, T.: A Touring Machine: Prototyping 3D Mobile Augmented Reality Systems for Exploring the Urban Environment (1997)
Muja, M., Lowe, D.G.: Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration. In: VISAPP International Conference on Computer Vision Theory and Applications, pp. 331–340 (2009)
Interlando, J.C., Padilla, C.: Decoding the (41,20,10) Quadratic Residue Code Beyond its Error-Correcting Capability. Applied Mathematical Sciences 5(46), 2261–2269 (2011)
Milgram, P.: A taxonomy of Mixed Reality Visual Displays. IEICE Transactions on Information Systems E77-D(12), 1321–1329 (1994)
Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Computer Graphics and Applications, 34–47 (November 2001)
Huttenlocher, D.P., Klanderman, G.A., Rucklidge, W.J.: Comparing images using the Hausdorff distance. IEEE Trans. on Pattern Analysis and Machine Intelligence 15(9), 850–863 (1993)
Sinnott, R.W.: Virtues of the Haversine. Sky and Telescope 68(2), 159–159 (1984)
Bottecchia, S., Cieutat, J.-M., Merlo, C., Jessel, J.-P.: A new AR interaction paradigm for collaborative teleassistance system: the POA. Dans: International Journal on Interactive Design and Manufacturing 3(1) (2009)
Hough, I.P.V.C.: A method and means for recognizing complex patterns, U.S. Patent No. 3069654 (1962)
Nieto, M., Salgado, L.: Real-time robust estimation of vanishing points through nonlinear optimization. In: IS&T/SPIE Int. Conf. on Real-Time Image and Video Processing. SPIE, vol. 7724, p. 772402 (2010)
Agarwal, A.A., Jawahar, C.V., Narayanan, P.J.: A survey of planar homography estimation techniques. Centre for Visual Information Technology, Tech. Rep. IIIT/TR/2005/12 (2005)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Ghouaiel, N., Cieutat, JM., Jessel, JP. (2014). Mobile Augmented Reality: Applications and Specific Technical Issues. In: Chen, L., Kapoor, S., Bhatia, R. (eds) Intelligent Systems for Science and Information. Studies in Computational Intelligence, vol 542. Springer, Cham. https://doi.org/10.1007/978-3-319-04702-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-319-04702-7_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-04701-0
Online ISBN: 978-3-319-04702-7
eBook Packages: EngineeringEngineering (R0)