1427 search results - page 28 / 286 » Markov Random Field Modeling in Computer Vision |
SIGECOM
2006
ACM
14 years 2 months ago
2006
ACM
We present a reduction from graphical games to Markov random fields so that pure Nash equilibria in the former can be found by statistical inference on the latter. Our result, wh...
CVPR
2008
IEEE
14 years 11 months ago
2008
IEEE
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
ICCV
2007
IEEE
14 years 11 months ago
2007
IEEE
We consider the task of creating a 3-d model of a large novel environment, given only a small number of images of the scene. This is a difficult problem, because if the images are...
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
CVPR
2005
IEEE
14 years 11 months ago
2005
IEEE
This paper presents a dynamic conditional random field (DCRF) model to integrate contextual constraints for object segmentation in image sequences. Spatial and temporal dependenci...