"GrabCut" - Interactive foreground extraction using iterated graph cuts Conference Paper

Author(s): Rother, Carsten; Kolmogorov, Vladimir; Blake, Andrew
Title: "GrabCut" - Interactive foreground extraction using iterated graph cuts
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.
Conference Title: SIGGRAPH: Special Interest Group on Computer Graphics and Interactive Techniques
Volume: 23
Issue 3
Conference Dates: August 9-12, 2004
Conference Location: Los Angeles, LA, USA
ISBN: 1557-7368
Publisher: ACM  
Location: New York, NY, USA
Date Published: 2004-08-01
Start Page: 309
End Page: 314
DOI: 10.1145/1015706.1015720
Open access: no
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