Generalized multi camera scene reconstruction using graph cuts

V. Kolmogorov, R. Zabih, S. Gortler, in:, Springer, 2003, pp. 501–516.

Download
No fulltext has been uploaded. References only!

Conference Paper | Published
Author
; ;
Series Title
LNCS
Abstract
Reconstructing a 3-D scene from more than one camera is a classical problem in computer vision. One of the major sources of difficulty is the fact that not all scene elements are visible from all cameras. In the last few years, two promising approaches have been developed 11,12 that formulate the scene reconstruction problem in terms of energy minimization, and minimize the energy using graph cuts. These energy minimization approaches treat the input images symmetrically, handle visibility constraints correctly, and allow spatial smoothness to be enforced. However, these algorithm propose different problem formulations, and handle a limited class of smoothness terms. One algorithm 11 uses a problem formulation that is restricted to two-camera stereo, and imposes smoothness between a pair of cameras. The other algorithm 12 can handle an arbitrary number of cameras, but imposes smoothness only with respect to a single camera. In this paper we give a more general energy minimization formulation for the problem, which allows a larger class of spatial smoothness constraints. We show that our formulation includes both of the previous approaches as special cases, as well as permitting new energy functions. Experimental results on real data with ground truth are also included.
Publishing Year
Date Published
2003-06-26
Volume
2683
Page
501 - 516
Conference
EMMCVPR: Energy Minimization Methods in Computer Vision and Pattern Recognition
IST-REx-ID

Cite this

Kolmogorov V, Zabih R, Gortler S. Generalized multi camera scene reconstruction using graph cuts. In: Vol 2683. Springer; 2003:501-516. doi:10.1007/978-3-540-45063-4_32
Kolmogorov, V., Zabih, R., & Gortler, S. (2003). Generalized multi camera scene reconstruction using graph cuts (Vol. 2683, pp. 501–516). Presented at the EMMCVPR: Energy Minimization Methods in Computer Vision and Pattern Recognition, Springer. https://doi.org/10.1007/978-3-540-45063-4_32
Kolmogorov, Vladimir, Ramin Zabih, and Steven Gortler. “Generalized Multi Camera Scene Reconstruction Using Graph Cuts,” 2683:501–16. Springer, 2003. https://doi.org/10.1007/978-3-540-45063-4_32.
V. Kolmogorov, R. Zabih, and S. Gortler, “Generalized multi camera scene reconstruction using graph cuts,” presented at the EMMCVPR: Energy Minimization Methods in Computer Vision and Pattern Recognition, 2003, vol. 2683, pp. 501–516.
Kolmogorov V, Zabih R, Gortler S. 2003. Generalized multi camera scene reconstruction using graph cuts. EMMCVPR: Energy Minimization Methods in Computer Vision and Pattern Recognition, LNCS, vol. 2683. 501–516.
Kolmogorov, Vladimir, et al. Generalized Multi Camera Scene Reconstruction Using Graph Cuts. Vol. 2683, Springer, 2003, pp. 501–16, doi:10.1007/978-3-540-45063-4_32.

Export

Marked Publications

Open Data IST Research Explorer

Search this title in

Google Scholar