265 search results - page 35 / 53 » Document Image Segmentation Using a 2D Conditional Random Fi... |
ICCV
2005
IEEE
14 years 9 months ago
2005
IEEE
In this paper, we present a two-layer generative model that incorporates generic middle-level visual knowledge for dense stereo reconstruction. The visual knowledge is represented...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
Binary segmentation, a problem of extracting foreground objects from the background, often arises in medical imaging and document processing. Popular existing solutions include Ex...
MICCAI
2010
Springer
13 years 6 months ago
2010
Springer
Segmentation is a fundamental problem in medical image analysis. The use of prior knowledge is often considered to address the ill-posedness of the process. Such a process consists...
PAMI
2008
13 years 7 months ago
2008
Image denoising algorithms often assume an additive white Gaussian noise (AWGN) process that is independent of the actual RGB values. Such approaches cannot effectively remove colo...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Spectral clustering and eigenvector-based methods have become increasingly popular in segmentation and recognition. Although the choice of the pairwise similarity metric (or affin...