The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Real-Time Detection and Tracking for Augmented Reality on Mobile Phones
Abstract
In this paper, we present three techniques for 6DOF natural feature tracking in real time on mobile phones. We achieve interactive frame rates of up to 30 Hz for natural feature tracking from textured planar targets on current generation phones. We use an approach based on heavily modified state-of-the-art feature descriptors, namely SIFT and Ferns plus a template-matching-based tracker. While SIFT is known to be a strong, but computationally expensive feature descriptor, Ferns classification is fast, but requires large amounts of memory. This renders both original designs unsuitable for mobile phones. We give detailed descriptions on how we modified both approaches to make them suitable for mobile phones. The template-based tracker further increases the performance and robustness of the SIFT- and Ferns-based approaches. We present evaluations on robustness and performance and discuss their appropriateness for Augmented Reality applications.
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Cites
Distinctive Image Features from Scale-Invariant Keypoints
Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589
SURF: Speeded Up Robust Features
Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955
Image registration methods: a survey
Zitová, B., & Flusser, J. (2003) · Image and Vision Computing · doi:10.1016/s0262-8856(03)00137-9 · Cited by 6,423
Machine Learning for High-Speed Corner Detection
Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555
Self-citationParallel Tracking and Mapping for Small AR Workspaces
Klein, G., & Murray, D. (2007) · 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2007.4538852 · Cited by 4,346
Advances in Neural Information Processing Systems 18
Murray, I., Mackay, D., Zoubin Ghahramani, A., & Skilling, J. (2006) · Cited by 1,927
Matching with PROSAC — Progressive Sample Consensus
Chum, O., & Matas, J. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.221 · Cited by 1,096
Pose tracking from natural features on mobile phones
Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., & Schmalstieg, D. (2008) · 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2008.4637338 · Cited by 420
Self-citationFast Keypoint Recognition in Ten Lines of Code
Ozuysal, M., Fua, P., & Lepetit, V. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383123 · Cited by 415
Randomized Trees for Real-Time Keypoint Recognition
Lepetit, V., Lagger, P., & Fua, P. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.288 · Cited by 415
Cited by
Automatic generation and detection of highly reliable fiducial markers under occlusion
Garrido-Jurado, S., Muñoz-Salinas, R., Madrid-Cuevas, F. J., & Marín-Jiménez, M. J. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.01.005 · Cited by 2,604
Chi, H.-L., Kang, S.-C., & Wang, X. (2013) · Automation in Construction · doi:10.1016/j.autcon.2012.12.017 · Cited by 476
Metadata
- Authors
- Wagner, D., Reitmayr, G., Mulloni, A., Drummond, T., & Schmalstieg, D.
- Venue
- IEEE Transactions on Visualization and Computer Graphics
- Published
- 2010-05
- Volume
- 16
- Issue
- 3
- Pages
- 355-368
- ISSN
- 1077-2626 (ISSN-L)
- OpenAlex
- W2098205880
- Cited by
- 334
- References
- 22
- FWCI
- 27.85
- Type
- journal article
- Language
- en
- Open access
- closed
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