417 search results - page 35 / 84 » Supervised Image Segmentation Using Markov Random Fields |
AUSAI
2009
Springer
15 years 6 months ago
2009
Springer
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
In this paper we carry out cooperatively both disparity and object boundary estimation by setting the two tasks in a unified Markovian framework. We introduce a new joint probabil...
110
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CVPR
2007
IEEE
16 years 1 months ago
2007
IEEE
We present a method for the simultaneous detection and segmentation of people from static images. The proposed technique requires no manual segmentation during training, and explo...
107
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CVPR
2001
IEEE
16 years 1 months ago
2001
IEEE
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
ICML
2005
IEEE
16 years 19 days ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...