"GrabCut": interactive foreground extraction using iterated graph cuts Export

@article{citeulike:126703, abstract = {The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we have developed a more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show that for moderately difficult examples the proposed method outperforms competitive tools.}, address = {New York, NY, USA}, author = {Rother, Carsten and Kolmogorov, Vladimir and Blake, Andrew}, citeulike-article-id = {126703}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1015706.1015720}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1015706.1015720}, doi = {10.1145/1015706.1015720}, issn = {0730-0301}, journal = {ACM Trans. Graph.}, keywords = {grabcut, matting, segmentation}, month = {August}, number = {3}, pages = {309--314}, posted-at = {2008-08-13 07:40:31}, priority = {2}, publisher = {ACM}, title = {"GrabCut": interactive foreground extraction using iterated graph cuts}, url = {http://dx.doi.org/10.1145/1015706.1015720}, volume = {23}, year = {2004} }

TY - JOUR ID - citeulike:126703 L3 - citeulike-article-id:126703 N2 - The problem of efficient, interactive foreground/background segmentation in still images is of great practical importance in image editing. Classical image segmentation tools use either texture (colour) information, e.g. Magic Wand, or edge (contrast) information, e.g. Intelligent Scissors. Recently, an approach based on optimization by graph-cut has been developed which successfully combines both types of information. In this paper we extend the graph-cut approach in three respects. First, we have developed a more powerful, iterative version of the optimisation. Secondly, the power of the iterative algorithm is used to simplify substantially the user interaction needed for a given quality of result. Thirdly, a robust algorithm for "border matting" has been developed to estimate simultaneously the alpha-matte around an object boundary and the colours of foreground pixels. We show that for moderately difficult examples the proposed method outperforms competitive tools. IS - 3 JF - ACM Trans. Graph. SN - 0730-0301 AD - New York, NY, USA EP - 314 TI - "GrabCut": interactive foreground extraction using iterated graph cuts PB - ACM VL - 23 SP - 309 KW - grabcut KW - matting KW - segmentation AU - Rother, Carsten AU - Kolmogorov, Vladimir AU - Blake, Andrew PY - 2004/08// UR - http://dx.doi.org/10.1145/1015706.1015720 ER -