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Combined Depth and Outlier Estimation in Multi-View Stereo
Open accessAbstract
In this paper, we present a generative model based approach to solve the multi-view stereo problem. The input images are considered to be generated by either one of two processes: (i) an inlier process, which generates the pixels which are visible from the reference camera and which obey the constant brightness assumption, and (ii) an outlier process which generates all other pixels. Depth and visibility are jointly modelled as a hiddenMarkov Random Field, and the spatial correlations of both are explicitly accounted for. Inference is made tractable by an EM-algorithm, which alternates between estimation of visibility and depth, and optimisation of model parameters. We describe and compare two implementations of the E-step of the algorithm, which correspond to the Mean Field and Bethe approximations of the free energy. The approach is validated by experiments on challenging real-world scenes, of which two are contaminated by independently moving objects.
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Cites
A View of the Em Algorithm that Justifies Incremental, Sparse, and other Variants
Neal, R. M., & Hinton, G. E. (1998) · Learning in Graphical Models · doi:10.1007/978-94-011-5014-9_12 · Cited by 2,187
Cited by
DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo
Tola, E., Lepetit, V., & Fua, P. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.77 · Cited by 1,405
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
Metadata
- Authors
- Strecha, C., Fransens, R., & Van Gool, L.
- Venue
- 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06)
- Publisher
- IEEE
- Published
- 2006-07-10
- Volume
- 2
- Pages
- 2394-2401
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2127108679
- Cited by
- 180
- References
- 1
- FWCI
- 16.40
- Type
- conference paper
- Language
- en
- Open access
- green
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- Strecha, C., Fransens, R., & Van Gool, L. (2006). Combined Depth and Outlier Estimation in Multi-View Stereo. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06). https://doi.org/10.1109/cvpr.2006.78
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