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"GrabCut” -- interactive foreground extraction using iterated graph cuts (2004)

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by Carsten Rother , Vladimir Kolmogorov , Andrew Blake
Venue:ACM TRANS. GRAPH
Citations:1128 - 36 self
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BibTeX

@ARTICLE{Rother04"grabcut”--,
    author = {Carsten Rother and Vladimir Kolmogorov and Andrew Blake},
    title = {"GrabCut” -- interactive foreground extraction using iterated graph cuts},
    journal = {ACM TRANS. GRAPH},
    year = {2004},
    pages = {309--314}
}

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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.

Keyphrases

iterated graph cut    grabcut interactive foreground extraction    object boundary    foreground pixel    robust algorithm    image editing    great practical importance    interactive foreground background segmentation    border matting    magic wand    classical image segmentation tool    iterative algorithm    intelligent scissors    iterative version    graph-cut approach    user interaction    competitive tool   

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