A model of representation of regions of segmented images has been recently introduced 3]. This model provides an eecient implementation of region segmentation laying on discrete maps. In this paper, we present the two basic primitives used to modify the discrete map data structure: the insertion of a new segment and the suppression of an existing segment. These both primitives are the basic one...

Visual image segmentation is the process by which the visual system groups features that are part of a single shape. Is image segmentation a bottom-up or an interactive process? In Experiments 1 and 2, we presented subjects with two overlapping shapes and asked them to determine whether two probed locations were on the same shape or on different shapes. The availability of top-down support was ...

A bstract In this work, higher-derivative corrections of the non-linear sigma model both even and odd intrinsic-parity sectors are systematically studied, focusing on ordered amplitudes flavor scalars in massless limit. It should correspond to a theory known as chiral perturbation (ChPT) without external sources with only single-trace operators. We briefly overview its formal development apply ...

Representing objects using elements from a visual dictionary is widely used in object detection and categorization. Prior work on dictionary learning has shown improvements in the accuracy of object detection and categorization by learning discriminative dictionaries. However none of these dictionaries are learnt for joint object categorization and segmentation. Moreover, dictionary learning is...

A common approach to model-based segmentation is to assume a top-down modelling strategy. However, this is not feasible for complex 3D +time structures, such as the cardiac left ventricle, due to increased training requirements, aligning difficulties and local minima in resulting models. As our main contribution, we present an alternate bottom-up modelling approach. By combining the variation c...