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...
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
In this paper, we will show how non-photorealistic rendering (NPR) can take a new role in content-based image retrieval (CBIR). We propose a content-based image retrieval method. ...
We propose a registration method to find affine transformations
between 3D objects by constructing and solving an
overdetermined system of polynomial equations. We utilize
voxel...
Attila Tanács, Natasa Sladoje, Joakim Lindblad, a...
We propose a novel Markovian segmentation
model which takes into account edge information. By construction,
the model uses only pairwise interactions and its
energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...