Open Access
Issue |
MATEC Web of Conferences
Volume 54, 2016
2016 7th International Conference on Mechanical, Industrial, and Manufacturing Technologies (MIMT 2016)
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Article Number | 08004 | |
Number of page(s) | 8 | |
Section | Image processing and visualization | |
DOI | https://doi.org/10.1051/matecconf/20165408004 | |
Published online | 22 April 2016 |
- C. Rothe, V. Kolmogorov, T. Minka, and A. Blake, “Cosegmentation of Image Pairs by Histogram Matching-Incorporating a Global Constraint into MRFs,” Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1, 993-1000 (2006). [Google Scholar]
- L. Mukherjee, V. Singh, R. And C Dyer, “Half-Integrality based Algorithms for Cosegmentation of Images,” 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2028-2035 (2009). [Google Scholar]
- S. Hochbaum D, and V. Singh. “An efficient algorithm for Co-segmentation,” IEEE International Conference on Computer Vision, 269-276 (2009). [Google Scholar]
- S. Vicente, V. Kolmogorov, and C. Rother, “Cosegmentation revisited: Models and optimization,” ECCV, 465-479 (2010). [Google Scholar]
- A. Joulin, F. Bach, and J. Ponce, “Discriminative clustering for image co-segmentation,” IEEE Conference on Computer Vision & Pattern Recognition IEEE Computer Society, 1943-1950 (2010). [Google Scholar]
- D. Batra, A. Kowdle, and D. Parikh D, “iCoseg: Interactive co-segmentation with intelligent scribble guidance,” Proceedings / CVPR, IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 3169-3176 (2010). [Google Scholar]
- S. Vicente, C. Rother, and V. Kolmogorov, “Object cosegmentation,” IEEE Conference on Computer Vision & Pattern Recognition, 42, 2217-2224 (2011). [Google Scholar]
- F. Meng, H. Li, and G. Liu, “Image co-segmentation via active contours,” IEEE International Symposium on Circuits & Systems, 2773–2776 (2012). [Google Scholar]
- F. Meng,H. Li, and G. Liu, “Image Cosegmentation by Incorporating Color Reward Strategy and Active Contour Model,” Cybernetics IEEE Transactions on, 43, 725-737 (2013). [CrossRef] [Google Scholar]
- F. Chan T and A. Vese L, “Active contours without edges,” IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society, 10, 266–277 (2001). [Google Scholar]
- S. Osher and A. Sethian J, “Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations,” Journal of Computational Physics, 79, 12-49 (1988). [Google Scholar]
- R. Achanta, A. Shaji, K. Smith, et al. “SLIC Superpixels Compared to State-of-the-art Superpixel Methods,” IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, 2274–2282 (2012). [Google Scholar]
- Available at: http://chenlab.ece.cornell.edu/projects/touch-coseg/CMU_Cornell_iCoseg_dataset.zip, last accessed: 04/11/2015. [Google Scholar]
- Available at: http://research.microsoft.com/en-us/um/people/antcrim/data_objrec/msrc_objcategimagedatabase_v2.zip, last accessed: 04/11/2015. [Google Scholar]
- C. Rother, V. Kolmogorov, and A. Blake, “Grabcut: Interactive Foreground Extraction Using IteratedGraph Cuts,” ACM Transactions on Graphics, 23, 309–314 (2004). [Google Scholar]
- F. Meng, H. Li, K. Ngan, et al. “Cosegmentation from similar backgrounds,” IEEE International Symposium on Circuits & Systems, 353–356 (2014). [Google Scholar]
- G. Kim, P. Xing E, L. Fei-Fei, et al. “Distributed cosegmentation via submodular optimization on anisotropic diffusion,” Computer Vision (ICCV), 2011 IEEE International Conference on. IEEE, 169-176 (2011). [Google Scholar]
- Y. Wei, F. Wen F, W. Zhu, et al. “Geodesic Saliency Using Background Priors,” Lecture Notes in Computer Science, 7574, 29-42 (2012). [CrossRef] [Google Scholar]
- C. Yang C, L. Zhang, H. Lu, et al. “Saliency Detection via Graph-Based Manifold Ranking,” IEEE Conference on Computer Vision & Pattern Recognition, 9, 3166-3173 (2013). [Google Scholar]
- A. Hornung, Y. Pritch, P. Krahenbuhl, et al. “Saliency filters: Contrast based filtering for salient region detection,” Cvpr. IEEE Computer Society, 733-740 (2012). [Google Scholar]
- W. Zhu, S. Liang, Y. Wei, et al. “Saliency Optimization from Robust Background Detection,” IEEE Conference on Computer Vision & Pattern Recognition, 2814-2821 (2014). [Google Scholar]
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