Output details
11 - Computer Science and Informatics
University of Exeter
Orientation and anisotropy of multi-component shapes from boundary information
<23> The results are published in a high quality publication (Impact-Factor-2008 = 3.279, five-year-impact-factor is 3.402). The paper, introduces an anisotropy measure for multi-component shapes. Its usefulness is justified in several experiments (e.g. embryonic tissue orientation, signature orientation, texture classification, discrimination between granular soil preparation methods). This is the first shape measure developed for multi-component shapes. The measure introduced is the boundary based and, because of this, is suitable for tasks, such as signature verification, that require a high sensitivity. This is a joint work with Professor Paul Rosin from Cardiff University.
