A shape distance by complete and stable invariant descriptors for contour tracking
Azza Mokadem, Mohamed Daoudi, Faouzi Ghorbel · 1996
We consider the problem of comparing geometric objects in order to determine the extent to which one object resembles another. Invariant feature families are presented. A complete and stable set of invariant features has been applied to define all invariant distance in the shapes space. This distance allows us to detect and follow moving objects in a dynamic scene. In order to evaluate the performance of such a metric, experimental results are given.