Interactive foreground segmentation method using mean shift and graph cuts

Author:

Tian Yuan,Guan Tao,Wang Cheng,Li Lijun,Liu Wei

Publisher

Emerald

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering

Reference22 articles.

1. Ahn, J.H., Kim, K. and Byun, H. (2006), “Robust object segmentation using graph cut with object and background seed estimation”,paper presented at 18th International Conference on Pattern Recognition.

2. Boykov, Y.Y. and Jolly, M.P. (2001), “Interactive graph cuts for optimal boundary & region segmentation of objects in N‐D images”,In Int Conf. Comp. Vis., Vol. 1, pp. 105‐12.

3. Chuang, Y‐Y., Curless, B., Salesin, D.H. and Szeliski, R. (2001), “A Bayesian approach to digital matting”,Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2001), Vol. II, pp. 264‐71.

4. Mean shift: a robust approach toward feature space analysis

5. Greig, D., Porteous, B. and Seheult, A. (1989), “Exact maximum a posteriori estimation for binary images”,J. R. Stat. Soc., B., Vol. 51 No. 2, pp. 271‐9.

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