Lecture 2 - Front propagation
in 2D and 3D

Abstract : The goals of this lecture is to manipulate the fast marching algorithm in 2D and 3D. Application to shortest path extraction (e.g. road tracking and tubular structure extraction in medical images), shape statistics and geodesic remeshing are presented.

Setting up Matlab.

Front propagation in 2D.

3D Volumetric Shortest Paths.

Voronoi segmentation and geodesic Delaunay triangulation in 2D.

Farthest point sampling.

Constrained propagation in 2D shapes.

Heuristically driven front propagation.