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» Image Segmentation with Minimum Mean Cut
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CVPR
2010
IEEE
14 years 1 months ago
Discrete minimum ratio curves and surfaces
Graph cuts have proven useful for image segmentation and for volumetric reconstruction in multiple view stereo. However, solutions are biased: the cost function tends to favour ei...
Fred Nicolls, Phil Torr
DAGM
2007
Springer
13 years 9 months ago
Intrinsic Mean for Semi-metrical Shape Retrieval Via Graph Cuts
We address the problem of describing the mean object for a set of planar shapes in the case that the considered dissimilarity measures are semi-metrics, i.e. in the case that the t...
Frank R. Schmidt, Eno Töppe, Daniel Cremers, ...
CORR
2004
Springer
223views Education» more  CORR 2004»
13 years 5 months ago
Better Foreground Segmentation Through Graph Cuts
For many tracking and surveillance applications, background subtraction provides an effective means of segmenting objects moving in front of a static background. Researchers have ...
Nicholas R. Howe, Alexandra Deschamps
CVPR
2000
IEEE
14 years 7 months ago
Image Segmentation by Nested Cuts
We present a new image segmentation algorithm based on graph cuts. Our main tool is separation of each pixel from a special point outside the image by a cut of a minimum cost. Suc...
Olga Veksler
CVPR
2008
IEEE
1042views Computer Vision» more  CVPR 2008»
14 years 7 months ago
Graph cut based image segmentation with connectivity priors
Graph cut is a popular technique for interactive image segmentation. However, it has certain shortcomings. In particular, graph cut has problems with segmenting thin elongated obj...
Sara Vicente, Vladimir Kolmogorov, Carsten Rother