"GrabCut” -- interactive foreground extraction using iterated graph cuts

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

by Carsten Rother , Vladimir Kolmogorov , Andrew Blake

Venue:	ACM TRANS. GRAPH
Citations:	372 - 25 self

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Datum	Value	Source
TITLE	"GrabCut” -- interactive foreground extraction using iterated graph cuts	user correction
AUTHOR NAME	Carsten Rother	user correction
AUTHOR AFFIL	Microsoft Research Cambridge, UK	user correction
AUTHOR NAME	Vladimir Kolmogorov	user correction
AUTHOR AFFIL	Microsoft Research Cambridge, UK	user correction
AUTHOR NAME	Andrew Blake	user correction
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.	user correction
YEAR	2004	user correction
VENUE	ACM TRANS. GRAPH	user correction
VENUE TYPE	JOURNAL	INFERENCE
PAGES	309--314	INFERENCE
CITATIONS	14 found	ParsCit 1.0