Open Access
| Issue |
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
|
|
|---|---|---|
| Article Number | 01027 | |
| Number of page(s) | 6 | |
| Section | Information and Communication Technology | |
| DOI | https://doi.org/10.1051/matecconf/20152201027 | |
| Published online | 09 July 2015 | |
- Boykov, Y.Y. 2001. Interactive Graph Cuts for Optimal Boundary & Region Segmentation of Objects in N-D Images, International Conference on Computer Vision(ICCV), 1: 105 –112. [Google Scholar]
- Rother, C., Kolmogorov, V. & Blake, A. 2004. “GrabCut”-Interactive foreground extraction using iterated graph cuts. ACM Transactions on Graphics, 23(3). [Google Scholar]
- Kolmogorov, V. & Zabin, R. 2004. What energy functions can be minimized via graph cuts? Pattern Analysis andMachine Intelligence (PAMI), IEEE Transactionson, 26(2). [CrossRef] [Google Scholar]
- Li, T., Sun, J., Tang, C.K. & Shum, I.Y. 2004. Lazy snapping, ACM Transactions on Graphics. 23(3). [CrossRef] [Google Scholar]
- Batra, D., Kowdle, A., Parikh, D., Jiebo Luo & Tsuhan Chen. 2010. iCoseg: Interactive co-segmentation with intelligent scribble guidance, Proc. IEEE Conf. Computer Vision and Pattern Recognition, pp: 3169 – 3176. [Google Scholar]
- Achanta, R., Shaji, A., Smith, K., Lucchi, A., Fua, P. & Süsstrunk, S. 2012. SLIC superpixels compared to state-of-the-art superpixel methods, Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactionson. 34(11): 888–905. [Google Scholar]
- Meng T., Gorelick, L., Veksler, O. & Boykov, Y. 2013. GrabCut in one cut, International Conference on Computer Vision (ICCV), pp: 1–8. [Google Scholar]
- Everingham M. & Gool, L.V. 2010. The pascal visual object classes (VOC) challenge, International Journal of Computer Vision, 88(2): 303–338. [Google Scholar]
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