The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Abstract
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substantial amount of outliers, any integration approach aiming at high-quality models needs an increased level of robustness. Additionally, a certain level of regularization is required to obtain smooth surfaces. Computational efficiency and global convergence are further preferable properties. The contribution of this paper is a unified framework to solve all these issues. Our method is based on minimizing an energy functional consisting of a total variation (TV) regularization force and an L1 data fidelity term. We present a novel and efficient numerical scheme, which combines the duality principle for the TV term with a point-wise optimization step. We demonstrate the superior performance of our algorithm on the well-known Middlebury multi-view database and additionally on real-world multi-view images.
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Huber, P. J. (1981) · Wiley Series in Probability and Statistics · doi:10.1002/0471725250 · Cited by 7,066
A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
Seitz, S. M., Curless, B., Diebel, J., Scharstein, D., & Szeliski, R. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.19 · Cited by 2,457
Reconstruction and representation of 3D objects with radial basis functions
Carr, J. C., Beatson, R. K., Cherrie, J. B., Mitchell, T. J., Fright, W. R., McCallum, B. C., & Evans, T. R. (2001) · Proceedings of the 28th annual conference on Computer graphics and interactive techniques · doi:10.1145/383259.383266 · Cited by 1,852 · cited 1×
“Combining several range images can be performed using general surface-from-point-clouds reconstruction algorithms (e.g. [15] [3] [1] [6]).”
Background
Cited by
KinectFusion: Real-time dense surface mapping and tracking
Newcombe, R. A., Fitzgibbon, A., Izadi, S., Hilliges, O., Molyneaux, D., Kim, D., Davison, A. J., Kohi, P., Shotton, J., & Hodges, S. (2011) · 2011 10th IEEE International Symposium on Mixed and Augmented Reality · doi:10.1109/ismar.2011.6092378 · Cited by 4,008
High Accuracy and Visibility-Consistent Dense Multiview Stereo
Vu, H.-H., Labatut, P., Pons, J.-P., & Keriven, R. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.172 · Cited by 284
Dense Reconstruction Using 3D Object Shape Priors
Dame, A., Prisacariu, V. A., Ren, C. Y., & Reid, I. (2013) · 2013 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2013.170 · Cited by 135
Blaha, M., Vogel, C., Richard, A., Wegner, J. D., Pock, T., & Schindler, K. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.346 · Cited by 88
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Metadata
- Authors
- Zach, C., Pock, T., & Bischof, H.
- Venue
- 2007 IEEE 11th International Conference on Computer Vision
- Publisher
- IEEE
- Published
- 2007
- Pages
- 1-8
- OpenAlex
- W2167335287
- Cited by
- 220
- References
- 3
- FWCI
- 9.85
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Zach, C., Pock, T., & Bischof, H. (2007). A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration. 2007 IEEE 11th International Conference on Computer Vision. https://doi.org/10.1109/iccv.2007.4408983
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