292 search results - page 35 / 59 » Decomposition of range images using markov random fields |
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
MM
2006
ACM
14 years 1 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...
CVPR
2001
IEEE
14 years 9 months ago
2001
IEEE
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
BMVC
2010
13 years 5 months ago
2010
Markov random field pixel labelling is often used to obtain image segmentations in which each segment or region is labelled according to its attributes such as colour or texture. ...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...