A convex relaxation approach to space time multi-view 3D reconstruction
Oswald MR, Cremers D (2013)
Publication Type: Conference contribution
Publication year: 2013
Publisher: Institute of Electrical and Electronics Engineers Inc.
Pages Range: 291-298
Conference Proceedings Title: Proceedings of the IEEE International Conference on Computer Vision
Event location: AUS
ISBN: 9781479930227
Abstract
We propose a convex relaxation approach to space-time 3D reconstruction from multiple videos. Generalizing the works Unger et al. [16], Kolev et al. [8] to the 4D setting, we cast the problem of reconstruction over time as a binary labeling problem in a 4D space. We propose a variational formulation which combines a photo consistency based data term with a spatio-temporal total variation regularization. In particular, we propose a novel data term that is both faster to compute and better suited for wide-baseline camera setups when photo consistency measures are unreliable or missing. The proposed functional can be globally minimized using convex relaxation techniques. Numerous experiments on a variety of public ally available data sets demonstrate that we can compute detailed and temporally consistent reconstructions. In particular, the temporal regularization allows to reduce jittering of voxels over time. © 2013 IEEE.
Involved external institutions
Germany (DE)How to cite
APA:
Oswald, M.R., & Cremers, D. (2013). A convex relaxation approach to space time multi-view 3D reconstruction. In Proceedings of the IEEE International Conference on Computer Vision (pp. 291-298). AUS: Institute of Electrical and Electronics Engineers Inc..
MLA:
Oswald, Martin R., and Daniel Cremers. "A convex relaxation approach to space time multi-view 3D reconstruction." Proceedings of the 2013 14th IEEE International Conference on Computer Vision Workshops, ICCVW 2013, AUS Institute of Electrical and Electronics Engineers Inc., 2013. 291-298.
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