The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency
Abstract
This paper presents a volumetric formulation for the multi-view stereo problem which is amenable to a computationally tractable global optimisation using Graph-cuts. Our approach is to seek the optimal partitioning of 3D space into two regions labelled as "object" and "empty" under a cost functional consisting of the following two terms: (1) A term that forces the boundary between the two regions to pass through photo-consistent locations and (2) a ballooning term that inflates the "object" region. To take account of the effect of occlusion on the first term we use an occlusion robust photo-consistency metric based on Normalised Cross Correlation, which does not assume any geometric knowledge about the reconstructed object. The globally optimal 3D partitioning can be obtained as the minimum cut solution of a weighted graph.
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Citations
Cites
Fast approximate energy minimization via graph cuts
Boykov, Y., Veksler, O., & Zabih, R. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.969114 · Cited by 6,988
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
Cited by
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
A study on continuous max-flow and min-cut approaches
Yuan, J., Bae, E., & Tai, X.-C. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5539903 · Cited by 237
GPU-friendly multi-view stereo reconstruction using surfel representation and graph cuts
Chang, J. Y., Park, H., Park, I. K., Lee, K. M., & Lee, S. U. (2011) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2010.11.017 · Cited by 24
Metadata
- Authors
- Vogiatzis, G., Hernandez Esteban, C., Torr, P. H. S., & Cipolla, R.
- Venue
- IEEE Transactions on Pattern Analysis and Machine Intelligence
- Published
- 2007-12
- Volume
- 29
- Issue
- 12
- Pages
- 2241-2246
- ISSN
- 0162-8828 (ISSN-L)
- 2160-9292
- 1939-3539
- OpenAlex
- W2119213281
- Cited by
- 284
- References
- 2
- FWCI
- 23.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- Vogiatzis, G., Hernandez Esteban, C., Torr, P. H. S., & Cipolla, R. (2007). Multiview Stereo via Volumetric Graph-Cuts and Occlusion Robust Photo-Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2007.70712
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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