94 search results - page 10 / 19 » Markov Random Fields and Spatial Information to Improve Auto... |
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
The automatic extraction and labeling of the rib centerlines is a useful yet challenging task in many clinical applications. In this paper, we propose a new approach integrating r...
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
ECCV
2010
Springer
13 years 6 months ago
2010
Springer
In this paper, we propose a robust supervised label transfer method for the semantic segmentation of street scenes. Given an input image of street scene, we first find multiple ima...
CVPR
2008
IEEE
14 years 3 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
ACISICIS
2007
IEEE
14 years 2 months ago
2007
IEEE
We present here some applications of the Minimum Message Length (MML) principle to spatially correlated data. Discrete valued Markov Random Fields are used to model spatial correl...