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» Interactive Image Segmentation Using an Adaptive GMMRF Model
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112
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ICIP
2009
IEEE
16 years 2 months ago
Modified Grabcut For Unsupervised Object Segmentation
We propose a fully automated variation of the GrabCut technique for segmenting comparatively simple images with little variation in background colour and relatively high contrast ...
94
Voted
ECCV
2010
Springer
15 years 7 months ago
On Parameter Learning in CRF-based Approaches to Object Class Image Segmentation
Recent progress in per-pixel object class labeling of natural images can be attributed to the use of multiple types of image features and sound statistical learning approaches. Wit...
102
Voted
ICPR
2008
IEEE
16 years 3 months ago
Background variability modeling for statistical layout analysis
Geometric layout analysis plays an important role in document image understanding. Many algorithms known in literature work well on standard document images, achieving high text l...
Faisal Shafait, Joost van Beusekom, Daniel Keysers...
103
Voted
IJCNN
2006
IEEE
15 years 7 months ago
Learning to Segment Any Random Vector
— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Aapo Hyvärinen, Jukka Perkiö
ICHIM
2001
190views more  ICHIM 2001»
15 years 3 months ago
Chromatic Adaptation Post-Filtering in Image Synthesis Reproduction of Ancient Building for Restoration Support
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...
Maurizio Rossi, Daniele Marini, Alessandro Rizzi