200 search results - page 13 / 40 » Image Segmentation with Topic Random Field |
NIPS
2008
13 years 9 months ago
2008
We introduce a new interpretation of multiscale random fields (MSRFs) that admits efficient optimization in the framework of regular (single level) random fields (RFs). It is base...
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
IJCV
2008
13 years 7 months ago
2008
Image segmentation algorithms partition the set of pixels of an image into a specific number of different, spatially homogeneous groups. We propose a nonparametric Bayesian model f...
CVPR
2007
IEEE
14 years 9 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...