170 search results - page 3 / 34 » Region Classification with Markov Field Aspect Models |
ICRA
2009
IEEE
13 years 5 months ago
2009
IEEE
Contextual reasoning through graphical models such as Markov Random Fields often show superior performance against local classifiers in many domains. Unfortunately, this performanc...
ACCV
1998
Springer
13 years 11 months ago
1998
Springer
Abstract. This paper deals with the classification of color video sequences using Markov Random Fields (MRF) taking into account motion information. The theoretical framework relie...
PAMI
2008
13 years 7 months ago
2008
This paper proposes an image segmentation method named iterative region growing using semantics (IRGS), which is characterized by two aspects. First, it uses graduated increased ed...
IJCV
2006
13 years 7 months ago
2006
In this research we address the problem of classification and labeling of regions given a single static natural image. Natural images exhibit strong spatial dependencies, and mode...
ICIP
2009
IEEE
14 years 6 months ago
2009
IEEE
We propose a binary Markov Random Field (MRF) model
that assigns high probability to regions in the image domain
consisting of an unknown number of circles of a given radius.
We...