417 search results - page 36 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ICCV
2009
IEEE
16 years 4 months ago
2009
IEEE
We present a novel representation for modeling textured
regions subject to smooth variations in orientation and
scale. Utilizing the steerable pyramid of Simoncelli and
Freeman ...
109
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BMVC
2010
14 years 10 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
124
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NIPS
2004
15 years 1 months ago
2004
We seek to both detect and segment objects in images. To exploit both local image data as well as contextual information, we introduce Boosted Random Fields (BRFs), which use boos...
ICCV
2003
IEEE
16 years 1 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
118
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IJCV
2006
14 years 11 months ago
2006
We present a novel framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences...