We give an introduction to the phenomenon ofsymmetry and briefly describe its importance to machine vision tasks. An algorithm is then presented which finds all axes of local symmetry builds these axes into the axes of subparts and then uses this new set of axes to approximate image features with symmetrical shapes. Finally a hierarchy of such axes is produced.
Kidiyo KpalmaVéronique Haese-CoatJoseph Ronsin
Bilge GünselYue FuA. Murat Tekalp