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In this paper we have presented a fast and accurate approach to creating 3D
models of large scenes using structure from motion. We have shown that our
method of partitioning and recombining the global scene performs much faster
than the existing state of the art approach, while giving a result that is visually
identical. Future work can focus on a dynamic estimation of the partitioning and
overlap sizes, based on statistics taken from the point matches.
References
1. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-Up Robust Features
(SURF). Comput. Vis. Image Underst. 110(3), 346-359 (2008)
2. Claus, D., Fitzgibbon, A.W.: A rational function lens distortion model for general
cameras. In: Proceedings of the 2005 IEEE Computer Society Conference on Com-
puter Vision and Pattern Recognition (CVPR 2005), vol. 1, pp. 213-219. IEEE
Computer Society, Washington (2005)
3. Douterloigne, K., Gautama, S., Philips, W.: Fully automatic and robust UAV cam-
era calibration using chessboard patterns. In: IEEE International Geoscience and
Remote Sensing Symposium, pp. 551-554 (July 2009)
4. Furukawa, Y., Ponce, J.: Accurate, Dense, and Robust Multi-View Stereopsis.
IEEE Trans. on Pattern Analysis and Machine Intelligence (2009)
5. Gennery, D.B.: Generalized camera calibration including fish-eye lenses. Int. J.
Comput. Vision 68(3), 239-266 (2006)
6. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision.
Cambridge University Press, New York (2003)
7. Lourakis, M.A., Argyros, A.: SBA: A Software Package for Generic Sparse Bundle
Adjustment. ACM Trans. Math. Software 36(1), 1-30 (2009)
8. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. Int. J. Com-
put. Vision 60(2), 91-110 (2004)
9. Ni, K., Steedly, D., Dellaert, F.: Out-of-core bundle adjustment for large-scale 3d
reconstruction. In: IEEE International Conference on Computer Vision, vol. 0, pp.
1-8 (2007)
10. Nister, D.: Reconstruction from uncalibrated sequences with a hierarchy of trifocal
tensors. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1842, pp. 649-663. Springer,
Heidelberg (2000)
11. Seitz, S.M., Curless, B., Diebel, J., Scharstein, D., Szeliski, R.: A comparison and
evaluation of multi-view stereo reconstruction algorithms. In: Proceedings of the
2006 IEEE Computer Society Conference on Computer Vision and Pattern Recog-
nition, CVPR 2006, pp. 519-528. IEEE Computer Society, Washington (2006)
12. Snavely, N., Seitz, S.M., Szeliski, R.: Photo tourism: Exploring image collections in
3d. In: ACM Transactions on Graphics (Proceedings of SIGGRAPH 2006) (2006)
13. Snavely, N., Seitz, S.M., Szeliski, R.: Modeling the world from internet photo col-
lections. Int. J. Comput. Vision 80(2), 189-210 (2008)
14. Steedly, D., Essa, I., Delleart, F.: Spectral partitioning for structure from motion.
In: Proceedings of the Ninth IEEE International Conference on Computer Vision,
ICCV 2003, p. 996. IEEE Computer Society, Washington (2003)
15. Triggs, B., McLauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment
- a modern synthesis. In: Proceedings of the International Workshop on Vision
Algorithms, ICCV 1999, pp. 298-372. Springer, London (2000)
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