4 search results - page 1 / 1 » Sparse Long-Range Random Field and Its Application to Image ... |
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Many recent techniques for low-level vision problems such as image denoising are formulated in terms of Markov random field (MRF) or conditional random field (CRF) models. Nonethel...
CVPR
2007
IEEE
14 years 6 months ago
2007
IEEE
Markov Random Field (MRF) models are a popular tool for vision and image processing. Gaussian MRF models are particularly convenient to work with because they can be implemented u...
MM
2006
ACM
13 years 10 months ago
2006
ACM
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...