Discrete tomography (DT) is concerned with the tomographic reconstruction of images that consist of only a small number of gray levels. DT reconstruction problems are usually unde...
Three-dimensional (3D) visual scenes with pluralities of graphic objects require considerable network bandwidth to be transmitted and computing power to be rendered on a user'...
An image segmentation scheme that utilizes image-based flow fields in a curve evolution framework is presented. Geometric curve evolution methods require an edge function and a ve...
Baris Sumengen, B. S. Manjunath, Charles S. Kenney
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...