Abstract
We propose an approach for pose estimation based on a multi-camera system with known internal camera parameters. We only assume for the multi-camera system that the cameras of the system have fixed orientations and translations between each other. In contrast to existing approaches for reconstruction from multi-camera systems we introduce a rigid motion estimation for the multi-camera system itself using all information of all cameras simultaneously even in the case of non-overlapping views of the cameras. Furthermore we introduce a technique to estimate the pose parameters of the multi-camera system automatically.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000)
Maybank, S.J., Faugeras, O.: A therory of self-calibration of a moving camera. International Journal of Computer Vision (1992)
Pollefeys, M., Koch, R., Van Gool, L.: Selfcalibration and metric reconstruction in spite of varying and unknown internal camera parameters. In: ICCV (1998)
Fermüller, C., Aloimonos, Y.: Observability of 3d motion. International Journal of Computer Vision 37(1), 43–62 (2000)
Baker, P., Fermüller, C., Aloimonos, Y., Pless, R.: A Spherical Eye from Multiple Cameras (Makes Better Models of the World). In: CVPR 2001, vol. 1 (2001)
Beardsley, P.A., Zisserman, A., Murray, D.W.: Sequential Updating of Projective and Affine Structure from Motion. IJCV 23(3) (1997)
Neumann, J., Fermüller, C., Aloimonos, Y.: Polydioptric Camera Design and 3D Motion Estimation. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 294–301 (2003)
Neumann, J., Fermüller, C., Aloimonos, Y.: Eye Design in the Plenoptic Space of Light Rays. In: 9th IEEE Int. Conference on Computer Vision (2003)
Frahm, J.-M., Koch, R.: Camera Calibration with Known Rotation. In: Ninth IEEE International Conference on Computer Vision, October 2003, vol. 2 (2003)
Zomet, A., et al.: Omni-rig: Linear Self-recalibration of a Rig with Varying Internal and External Parameters. In: 8th Int. Conf. on Computer Vision (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Frahm, JM., Köser, K., Koch, R. (2004). Pose Estimation for Multi-camera Systems. In: Rasmussen, C.E., Bülthoff, H.H., Schölkopf, B., Giese, M.A. (eds) Pattern Recognition. DAGM 2004. Lecture Notes in Computer Science, vol 3175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28649-3_35
Download citation
DOI: https://doi.org/10.1007/978-3-540-28649-3_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22945-2
Online ISBN: 978-3-540-28649-3
eBook Packages: Springer Book Archive