265 search results - page 18 / 53 » Document Image Segmentation Using a 2D Conditional Random Fi... |
ECCV
2004
Springer
14 years 9 months ago
2004
Springer
Abstract. Statistical shape and texture appearance models are powerful image representations, but previously had been restricted to 2D or 3D shapes with smooth surfaces and lambert...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Graphical models are fundamental tools for modeling images and other applications. In this paper, we propose the Logistic Random Field (LRF) model for representing a discrete-valu...
PAMI
2010
13 years 5 months ago
2010
—We propose a unified graphical model that can represent both the causal and noncausal relationships among random variables and apply it to the image segmentation problem. Specif...
EMMCVPR
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. This paper presents a Bayesian inference algorithm for image layer representation [26], 2.1D sketch [6], with mixed Markov random field. 2.1D sketch is an very important...