Abstract
Augmented Reality (AR) applications may be used to enhance understanding of physical objects by addition of digital information to captured video streams. We propose new bio-secure system for interactions with bacterium biofilm images using the AR technology to improve safety in experimental lab. In proposed application we used state-of-the-art real-time features detection and matching methods. Also, various methods of feature detection and matching were compared with each other for real-time interaction and accuracy. The implementation of an app on a tablet device (Apple iPad) makes it useable by multi users in parallel.
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Hosseini, M., Vallotton, P., Bednarz, T., Sowmya, A.: A Study of Touchless Versus Touch-based Interactions with Bacterial Biofilm Images. In: 12th ACM International Conference on Virtual Reality Continuum and Its Applications in Industry (VRCAI 2013). The Chinese University of Hong Kong, Hong Kong (2013)
Vallotton, P., Sun, C., Wang, D., Ranganathan, P., Turnbull, L., Whitchurch, C.: Segmentation and tracking of individual Pseudomonas aeruginosa bacteria in dense populations of motile cells. In: Image and Vision Computing New Zealand (IVCNZ), Wellington, New Zealand (2009)
Rosten, E., Drummond, T.: Machine learning for high-speed corner detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 430–443. Springer, Heidelberg (2006)
Gundogdu, E., Alatan, A.A.: Feature detection and matching towards augmented reality applications on mobile devices. In: 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON) 2012, October 15-17, pp. 1,4 (2012)
Lowe, D.G.: Distinctive image features from scale-invariant key points. IJCV 60(2), 91–110 (2004)
Bay, H., Tuytelaars, T., Van Gool, L.: SURF: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006, Part I. LNCS, vol. 3951, pp. 404–417. Springer, Heidelberg (2006)
Harris, C., Stephens, M.: A combined corner and edge detector. In: Proceedings of the 4th Alvey Vision Conference (1988)
Thomas, S.J., MacDonald, B.A., Stol, K.A.: Real-time robust image feature description and matching. In: Kimmel, R., Klette, R., Sugimoto, A. (eds.) ACCV 2010, Part II. LNCS, vol. 6493, pp. 334–345. Springer, Heidelberg (2011)
Rublee, R., Rabaud, V., Konolige, K., Bradski, G.: ORB: An efficient alternative to SIFT or SURF. In: Proceedings of the IEEE International Conference on Computer Vision (ICCV), p. 13 (2011)
Calonder, M., Lepetit, V., Strecha, C., Fua, P.: Brief: Binary robust independent elementary features. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part IV. LNCS, vol. 6314, pp. 778–792. Springer, Heidelberg (2010)
Tola, E., Lepetit, V., Fua, P.: A Fast Local Descriptor for Dense Matching. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (2008)
Nielsen, F., Piro, P., Barlaud, M.: Bregman Vantage Point Trees for Efficient Nearest Neighbor Queries. In: Proceedings of IEEE International Conference on Multimedia and Expo, pp. 878–881 (2009)
Kumar, N., Zhang, L., Nayar, S.: What Is a Good Nearest Neighbors Algorithm for Finding Similar Patches in Images? In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 364–378. Springer, Heidelberg (2008)
Fischler, M., Bolles, R.: Random sample consensus: A paradigm for model fitting with application to image analysis and automated cartography. Commun. Assoc. Comp. Mach. 24, 381–395 (1981)
Muja, M., Lowe, D.G.: FLANN – Fast Library for Approximate Nearest Neighbors, http://people.cs.ubc.ca/~mariusm/index.php/FLANN/FLANN
Metaio Augmented Solutions, http://www.metaio.com
Qualcomm Vuforia, https://www.vuforia.com
ARLab, http://www.arlab.com
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Hosseini, M., Bednarz, T., Sowmya, A. (2014). Multi-users Real-Time Interaction with Bacterial Biofilm Images Using Augmented Reality. In: Shumaker, R., Lackey, S. (eds) Virtual, Augmented and Mixed Reality. Applications of Virtual and Augmented Reality. VAMR 2014. Lecture Notes in Computer Science, vol 8526. Springer, Cham. https://doi.org/10.1007/978-3-319-07464-1_28
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DOI: https://doi.org/10.1007/978-3-319-07464-1_28
Publisher Name: Springer, Cham
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