273 search results - page 51 / 55 » Adaptative Markov Random Fields for Omnidirectional Vision |
ICASSP
2009
IEEE
13 years 5 months ago
2009
IEEE
Belief propagation is a popular global optimization technique for many computer vision problems. However, it requires extensive computation due to the iterative message passing op...
TIP
2010
13 years 2 months ago
2010
Abstract--Image segmentation plays an important role in computer vision and image analysis. In this paper, image segmentation is formulated as a labeling problem under a probabilit...
ECCV
2008
Springer
14 years 5 months ago
2008
Springer
There are many local and greedy algorithms for energy minimization over Markov Random Field (MRF) such as iterated condition mode (ICM) and various gradient descent methods. Local ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
ICIP
1998
IEEE
14 years 9 months ago
1998
IEEE
In this paper, we proposed a neural network based scheme for performing unsupervised video object segmentation, especially for videophone or videoconferencing applications. The pr...