Keywords

Computer scienceArtificial intelligenceSegmentationCutImage segmentationMarkov random fieldGround truthProbabilistic logicGaussianGraphMixture modelCoherence (philosophical gambling strategy)Pattern recognition (psychology)Computer visionTheoretical computer scienceMathematics

Affiliated Institutions

Related Publications

Lazy snapping

In this paper, we present Lazy Snapping , an interactive image cutout tool. Lazy Snapping separates coarse and fine scale processing, making object specification and detailed ad...

2004 ACM Transactions on Graphics 1103 citations

Publication Info

Year
2004
Type
book-chapter
Pages
428-441
Citations
526
Access
Closed

External Links

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

526
OpenAlex

Cite This

Andrew Blake, Carsten Rother, Michael S. Brown et al. (2004). Interactive Image Segmentation Using an Adaptive GMMRF Model. Lecture notes in computer science , 428-441. https://doi.org/10.1007/978-3-540-24670-1_33

Identifiers

DOI
10.1007/978-3-540-24670-1_33