Research Institute of Visual Computing

Select a project of interest using the advanced search:

Orientation and anisotropy of multi-component shapes from boundary information

Authors: Paul L. Rosina, Joviša Žunićb, 1

DOI: 10.1016/j.patcog.2011.02.018

Abstract:

We define a method for computing the orientation of compound shapes based on boundary information. The orientation of a given compound shape S is taken as the direction α that maximises the integral of the squared length of projections, of all the straight line segments whose end points belong to particular boundaries of components of S to a line that has the slope α. Just as the concept of orientation can be extended from single component shapes to multiple components, elongation can also be applied to multiple components, and we will see that it effectively produces a measure of anisotropy since it is maximised when all components are aligned in the same direction. The presented method enables a closed formula for an easy computation of both orientation and anisotropy.

Link to Paper

Authors

Prof. Paul Rosin

Prof. Paul Rosin

Various aspects of computer vision, including 2D and 3D facial analysis and synthesis.