19 search results - page 2 / 4 » Markov Random Field Model-Based Edge-Directed Image Interpol... |
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Object models based on bag-of-words representations can achieve state-of-the-art performance for image classification and object localization tasks. However, as they consider obje...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
A new probabilistic image segmentation model based on hypothesis testing and Gibbs Random Fields is introduced. First, a probabilistic difference measure derived from a set of hyp...
ICIG
2009
IEEE
13 years 2 months ago
2009
IEEE
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
ACCV
2010
Springer
12 years 12 months ago
2010
Springer
We present a method for optimizing the stereo matching process when it is applied to a series of images with similar depth structures. We observe that there are similar regions wit...