The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Accurate multi-view reconstruction using robust binocular stereo and surface meshing
Abstract
This paper presents a new algorithm for multi-view reconstruction that demonstrates both accuracy and efficiency. Our method is based on robust binocular stereo matching, followed by adaptive point-based filtering of the merged point clouds, and efficient, high-quality mesh generation. All aspects of our method are designed to be highly scalable with the number of views. Our technique produces the most accurate results among current algorithms for a sparse number of viewpoints according to the Middlebury datasets. Additionally, we prove to be the most efficient method among non-GPU algorithms for the same datasets. Finally, our scaled-window matching technique also excels at reconstructing deformable objects with high-curvature surfaces, which we demonstrate with a number of examples.
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Cites
Bilateral Filtering for Gray and Color Images
Tomasi, C., & Manduchi, R. (2002) · Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271) · doi:10.1109/iccv.1998.710815 · Cited by 8,177 · cited 1×
“To remove some highfrequency noise already in image space, disparity images are then smoothed with a trilateral filter, which is a standard bilateral filter [38] weighted by the NCC value that corresponds to the best match for each disparity pixel.”
MethodA 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
High resolution passive facial performance capture
Bradley, D., Heidrich, W., Popa, T., & Sheffer, A. (2010) · ACM Transactions on Graphics · doi:10.1145/1778765.1778778 · Cited by 233
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Metadata
- Authors
- Bradley, D., Boubekeur, T., & Heidrich, W.
- Venue
- 2008 IEEE Conference on Computer Vision and Pattern Recognition
- Publisher
- IEEE
- Published
- 2008-06
- Pages
- 1-8
- ISSN
- 1063-6919 (ISSN-L)
- OpenAlex
- W2117331827
- Cited by
- 169
- References
- 2
- FWCI
- 12.82
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Bradley, D., Boubekeur, T., & Heidrich, W. (2008). Accurate multi-view reconstruction using robust binocular stereo and surface meshing. 2008 IEEE Conference on Computer Vision and Pattern Recognition. https://doi.org/10.1109/cvpr.2008.4587792
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