350 search results - page 31 / 70 » A Conditional Random Field Model for Video Super-resolution |
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...
TCSV
2008
13 years 7 months ago
2008
Wedding is one of the most important ceremonies in our lives. It symbolizes the birth and creation of a new family. In this paper, we present a system for automatically segmenting ...
CVPR
2005
IEEE
14 years 9 months ago
2005
IEEE
We propose an algorithm for estimating disparity and occlusion in stereo video sequences. The algorithm defines a prior on sequences of disparity maps using a 3D Markov random fie...
ICCV
2011
IEEE
12 years 7 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
ICIP
1998
IEEE
14 years 9 months ago
1998
IEEE
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...