Title :
A shape distance by complete and stable invariant descriptors for contour tracking
Author :
Mokadem, A. ; Daoudi, M. ; Ghorbel, F.
Author_Institution :
Ecole Nouvelle d´´Ingenieurs en Commun., Inst. Nat. des Telecommun., Villeneuve d´´Ascq, France
Abstract :
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
Keywords :
image reconstruction; image sequences; object recognition; contour tracking; dynamic scene; geometric objects; invariant descriptors; invariant feature families; moving objects; shape distance; Computer science; Distortion measurement; Fast Fourier transforms; Fourier series; Image reconstruction; Layout; Object detection; Robustness; Shape measurement; Stability criteria;
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-8186-7282-X
DOI :
10.1109/ICPR.1996.546000
