Abstract
This paper addresses the estimation of camera motion and 3D reconstruction from image sequences for multiple independently moving cameras. If multiple moving cameras record the same scene, a camera is often visible in another camera’s field of view. This poses a constraint on the position of the observed camera, which can be included into the conjoined optimization process. The paper contains the following contributions: Firstly, a fully automatic detection and tracking algorithm for the position of a moving camera in the image sequence of another moving camera is presented. Secondly, a sparse bundle adjustment algorithm is introduced, which includes this additional constraint on the position of the tracked camera. Since the additional constraints minimize the geometric error at the boundary of the reconstructed volume, the total reconstruction accuracy can be improved significantly. Experiments with synthetic and challenging real world scenes show the improved performance of our fully automatic method.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Gibson, S., Cook, J., Howard, T., Hubbold, R., Oram, D.: Accurate camera calibration for off-line, video-based augmented reality. In: ISMAR, Darmstadt, Germany (2002)
Hartley, R.I., Zisserman, A.: Multiple View Geometry. Cambridge University Press, Cambridge (2000)
Pollefeys, M., Gool, L.V., Vergauwen, M., Verbiest, F., Cornelis, K., Tops, J., Koch, R.: Visual modeling with a hand-held camera. IJCV 59, 207–232 (2004)
Wilburn, B., Joshi, N., Vaish, V., Talvala, E.V., Antunez, E., Barth, A., Adams, A., Horowitz, M., Levoy, M.: High performance imaging using large camera arrays. Proceedings of Siggraph 2005, ACM Trans. Graph. 24, 765–776 (2005)
Rosenhahn, B., Schmaltz, C., Brox, T., Weickert, J., Cremers, D., Seidel, H.-P.: Markerless motion capture of man-machine interaction. In: CVPR, Anchorage, USA (2008)
Sato, J.: Recovering multiple view geometry from mutual projections of multiple cameras. IJCV 66, 123 (2006)
Jae-Hak, K., Hongdong, L., Hartley, R.: Motion estimation for multi-camera systems using global optimization. In: CVPR, Anchorage, AK, USA (2008)
Stewénius, H., Åström, K.: Structure and motion problems for multiple rigidly moving cameras. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3023, pp. 252–263. Springer, Heidelberg (2004)
Frahm, J.-M., Köser, K., Koch, R.: Pose estimation for multi-camera systems. In: 26th DAGM Symposium, Tübingen, Germany, pp. 27–35 (2004)
Thormählen, T., Hasler, N., Wand, M., Seidel, H.-P.: Merging of unconnected feature tracks for robust camera motion estimation from video. In: CVMP, London, UK (2008)
Triggs, B., Mclauchlan, P.F., Hartley, R.I., Fitzgibbon, A.W.: Bundle adjustment – a modern synthesis. In: Triggs, B., Zisserman, A., Szeliski, R. (eds.) ICCV-WS 1999. LNCS, vol. 1883, p. 298. Springer, Heidelberg (2000)
Hasler, N., Rosenhahn, B., Thormählen, T., Wand, M., Gall, J., Seidel, H.P.: Markerless motion capture with unsynchronized moving cameras. In: CVPR, Miami Beach, FL, USA (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kurz, C., Thormählen, T., Rosenhahn, B., Seidel, HP. (2009). Exploiting Mutual Camera Visibility in Multi-camera Motion Estimation. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2009. Lecture Notes in Computer Science, vol 5875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10331-5_37
Download citation
DOI: https://doi.org/10.1007/978-3-642-10331-5_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10330-8
Online ISBN: 978-3-642-10331-5
eBook Packages: Computer ScienceComputer Science (R0)