Contour Correspondence via Ant Colony Optimization Oliver van Kaick <ovankaic@cs.sfu.ca> http://www.cs.sfu.ca/~ovankaic/personal/ This MATLAB implementation computes a correspondence between two shapes based on ant colony optimi

This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points.

This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. The algorithm is described in de

Texture-Aware Fast Global Level Set Evolution-Due to its intrinsic advantages such as the ability to automatically handle complex shapes and topological changes, the level set method has been widely used in image segmentation. Nevertheless, in additi