The DOI matches its Crossref record; 20 of the 20 references it cites were found in a registry or an index.
A global sampling method for alpha matting
Abstract
Alpha matting refers to the problem of softly extracting the foreground from an image. Given a trimap (specifying known foreground/background and unknown pixels), a straightforward way to compute the alpha value is to sample some known foreground and background colors for each unknown pixel. Existing sampling-based matting methods often collect samples near the unknown pixels only. They fail if good samples cannot be found nearby. In this paper, we propose a global sampling method that uses all samples available in the image. Our global sample set avoids missing good samples. A simple but effective cost function is defined to tackle the ambiguity in the sample selection process. To handle the computational complexity introduced by the large number of samples, we pose the sampling task as a correspondence problem. The correspondence search is efficiently achieved by generalizing a randomized algorithm previously designed for patch matching[3]. A variety of experiments show that our global sampling method produces both visually and quantitatively high-quality matting results.
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Citations
Cites
GrabCut: Interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015720 · Cited by 5,703
Self-citationPatchMatch: a randomized correspondence algorithm for structural image editing
Barnes, C., Shechtman, E., Finkelstein, A., & Goldman, D. B. (2009) · ACM Transactions on Graphics · doi:10.1145/1531326.1531330 · Cited by 2,880
He, K., Sun, J., & Tang, X. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15549-9_1 · Cited by 1,565
Self-citation"GrabCut": interactive foreground extraction using iterated graph cuts
Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM SIGGRAPH 2004 Papers · doi:10.1145/1186562.1015720 · Cited by 935
Self-citationA Bayesian approach to digital matting
Chuang, Y.-Y., Curless, B., Salesin, D. H., & Szeliski, R. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990970 · Cited by 796
Sun, J., Jia, J., Tang, C.-K., & Shum, H.-Y. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015721 · Cited by 583
Self-citationThe Generalized PatchMatch Correspondence Algorithm
Barnes, C., Shechtman, E., Goldman, D. B., & Finkelstein, A. (2010) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-15558-1_3 · Cited by 530
A Closed Form Solution to Natural Image Matting
Levin, A., Lischinski, D., & Weiss, Y. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1 (CVPR'06) · doi:10.1109/cvpr.2006.18 · Cited by 446
A Geodesic Framework for Fast Interactive Image and Video Segmentation and Matting
Bai, X., & Sapiro, G. (2007) · 2007 IEEE 11th International Conference on Computer Vision · doi:10.1109/iccv.2007.4408931 · Cited by 438
Optimized Color Sampling for Robust Matting
Wang, J., & Cohen, M. F. (2007) · 2007 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2007.383006 · Cited by 416
Cited by
He, K., Sun, J., & Tang, X. (2013) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.213 · Cited by 5,546
Self-citationInstaBoost: Boosting Instance Segmentation via Probability Map Guided Copy-Pasting
Fang, H.-S., Sun, J., Wang, R., Gou, M., Li, Y.-L., & Lu, C. (2019) · 2019 IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00077 · Cited by 228
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Metadata
- Authors
- He, K., Rhemann, C., Rother, C., Tang, X., & Sun, J.
- Venue
- CVPR 2011
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 2049-2056
- OpenAlex
- W2077604257
- Cited by
- 310
- References
- 20
- FWCI
- 11.72
- Type
- conference paper
- Language
- en
- Open access
- closed
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