Bildverarbeitung für die Medizin 2015 pp 197-202 | Cite as
Outliers in 3D Point Clouds Applied to Efficient Image-Guided Localization
Conference paper
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Abstract
In this work, the tasks of improving positioning efficiency and minimization of space requirements in image-based navigation are explored. We proved the assumption that it is possible to reduce imagematching time and to increase storage capacities by removing outliers from 3D models used for localization, by applying three outlier removal methods to our datasets and observing the localization associated with the resulting models.
Keywords
Point Cloud Iterative Close Point Iterative Close Point Structure From Motion Local Outlier Factor
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References
- 1.Kochanov D, Jonas S, Hamadeh N, et al. Urban positioning using smartphonebased imaging. Proc BVM. 2014; p. 186–191.Google Scholar
- 2.Grubbs FE. Procedures for detecting outlying observations in samples. Technometrics. 1969;11(1):1–21.CrossRefGoogle Scholar
- 3.Sotoodeh S. Outlier detection in laser scanner point clouds. In: International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences XXXVI-5; 2006. p. 297–302.Google Scholar
- 4.Wang J, Xu K, Liu L, et al. Consolidation of low-quality point clouds from outdoor scenes. Comput Graph Forum. 2013;32(5):207–10.CrossRefGoogle Scholar
- 5.Breunig MM, Kriegel HP, Ng RT, et al. LOF: identifying density-based local outliers. Proc ACM SIGMOD. 2000; p. 93–104.Google Scholar
- 6.Wu C. Towards linear-time incremental structure from motion. Proc 3DV. 2013; p. 127–134.Google Scholar
- 7.OpenStreetMap. OpenStreetMap contributors; 2014. [Online; accessed 2014 Jul 21]. Available from: https://www.openstreetmap.org/.
- 8.Strecha C, Pylv¨an¨ainen T, Fua P. Dynamic and scalable large scale image reconstruction. Proc IEEE CVPR. 2010; p. 406–413.Google Scholar
- 9.Untzelmann O, Sattler T, Middelberg S, et al. A scalable collaborative online system for city reconstruction. Proc IEEE ICCVW. 2013; p. 644–651.Google Scholar
- 10.Zhang Z. Iterative point matching for registration of free-form curves and surfaces. Int J Comput Vision. 1994 Oct;13(2):119–152.CrossRefGoogle Scholar
- 11.Modsching M, Kramer R, ten Hagen K. Field trial on GPS accuracy in a medium size city: the influence of built-up. Proc 3rd Workshop on Positioning, Navigation and Communication. 2006; p. 209–218.Google Scholar
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© Springer-Verlag Berlin Heidelberg 2015