A Survey on Marker-less Augmented Reality

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2014 by IJETT Journal
Volume-10 Number-13
Year of Publication : 2014
Authors : Sandip Kote , Bharat Borkar
  10.14445/22315381/IJETT-V10P328

Citation 

Sandip Kote , Bharat Borkar. "A Survey on Marker-less Augmented Reality", International Journal of Engineering Trends and Technology (IJETT), V10(13),639-641 April 2014. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract

Augmented reality (AR) is a live and combines direct or indirect view of a physical, real-world environment it`s realtime data whose elements are augmented by computer-generated virtual content such as sound, video, graphics or GPS data.An AR system poses unique challenges including requiring a high quality camera pose estimate and operating on resource-limited platforms.there is several hybrid approach using ORB binary features and optic flow that is able to real time performance result is possible with platform specific optimizations, improve speed and extend the usable tracking range.

References

[1] M. Fiala, "ARTag, a fiducial marker system using digital techniques," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, pp. 590- 596 vol. 2.
[2] M. Fiala and G. Roth, "Magic Lens Augmented Reality: Table-top and Augmentorium," presented at the ACM SIGGRAPH 2007 posters, San Diego, California, 2007.
[3] A. J. Davison, I. D. Reid, N. D. Molton, and O. Stasse, "MonoSLAM: Real-time single camera SLAM," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 29, pp. 1052- 1067, 2007.
[4] G. Klein and D. Murray, "Parallel Tracking and Mapping for Small AR Workspaces," in Mixed and Augmented Reality, 2007. ISMAR 2007. 6th IEEE and ACM International Symposium on, 2007, pp. 225-234.
[5] L. Taehee and T. Hollerer, "Hybrid Feature Tracking and User Interaction for Markerless Augmented Reality," in Virtual Reality Conference, 2008. VR `08. IEEE, 2008, pp. 145-152.
[6] D. G. Lowe, "Object recognition from local scale-invariant features," in Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on, 1999, pp. 1150-1157 vol.2.
[7] H. Bay, T. Tuytelaars, and L. Van Gool, "SURF: Speeded up robust features," Computer Vision–ECCV 2006, pp. 404-417, 2006.
[8] E. Rosten and T. Drummond, "Machine Learning for High-Speed Corner Detection," presented at the European Conference on Computer Vision, 2006.
[9] D. Wagner, G. Reitmayr, A. Mulloni, T. Drummond, and D. Schmalstieg, "Pose tracking from natural features on mobile phones," presented at the Proceedings of the 7th IEEE/ACM International Symposium on Mixed and Augmented Reality, 2008.
[10] W.-C. Chen, Y. Xiong, J. Gao, N. Gelfand, and R. Grzeszczuk, "Efficient Extraction of Robust Image Features on Mobile Devices," presented at the Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality, 2007.
[11] G. Klein and D. Murray, "Parallel Tracking and Mapping on a camera phone," in Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on, 2009, pp. 83-86.

Keywords
Augmented Reality; Markerless; Real Time; Feature Detectors; ORB; Hybrid Tracking.