111 search results - page 6 / 23 » Multi-class image segmentation using conditional random fiel... |
78
Voted
BMVC
1998
14 years 10 months ago
1998
The segmentation of pixels belonging to different moving elements within a cinematographic image sequence underpins a range of post-production special effects. In this work, the s...
AAAI
2008
14 years 11 months ago
2008
Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We describe an unsupervised method to segment objects detected in images using a novel variant of an interest point template, which is very efficient to train and evaluate. Once a...
147
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IJCV
2012
12 years 12 months ago
2012
The Hierarchical Conditional Random Field (HCRF) model have been successfully applied to a number of image labeling problems, including image segmentation. However, existing HCRF m...
104
Voted
CVPR
2009
IEEE
16 years 4 months ago
2009
IEEE
Global shape information is an effective top-down complement
to bottom-up figure-ground segmentation as well
as a useful constraint to avoid drift during adaptive tracking.
We p...