Charles University in Prague, Czech Republic
Statistical Models, Interactive Segmentation, Active Contours, Graph-cuts.
Computer Vision, Visualization and Computer Graphics
Image and Video Analysis
Segmentation and Grouping
Shape Representation and Matching
In this paper we present two models which are suitable for interactive segmentation algorithms to decrease
amount of user work. Models are used during initialization step and do not increase complexity of segmentation
algorithms. Model describe spatial distribution of image values and classification as either foreground
or background. Second part of the model is vector field which constrains direction of boundary normals.
We show how to use these models in parametric snakes/surfaces framework and minimal graph-cut based