94 search results - page 5 / 19 » Markov Random Fields and Spatial Information to Improve Auto... |
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
2005
IEEE
14 years 9 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...
PAMI
2002
13 years 7 months ago
2002
We propose a method for choosing the number of colors or true gray levels in an image; this allows fully automatic segmentation of images. Our underlying probability model is a hid...
CVIU
2006
13 years 7 months ago
2006
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
ICIP
2010
IEEE
13 years 5 months ago
2010
IEEE
In this paper, we present a fast approach to obtain semantic scene segmentation with high precision. We employ a two-stage classifier to label all image pixels. First, we use the ...