Title :
Geometric analysis of planar shapes using geodesic paths
Author :
Klassen, E. ; Srivastava, A.
Author_Institution :
Dept. of Math., Florida State Univ., Tallahassee, FL, USA
Abstract :
We propose a differential geometric representation of planar shapes using "direction" functions of their boundaries. Each shape becomes an element of a constrained function space, an infinite-dimensional manifold, and pairwise differences between are quantified using the lengths of geodesics connecting them on this space. A gradient-based shooting method is used for finding geodesics between any two shapes. Some applications of this shape metric are illustrated including clustering of objects based on their shapes and computation of intrinsic mean shapes.
Keywords :
differential geometry; gradient methods; image recognition; image representation; object recognition; direction functions; function space; geodesic paths; geometric analysis; geometric representation; gradient-based shooting method; infinite-dimensional manifold; intrinsic mean shapes; object clustering; planar shapes; shape metric; Extraterrestrial measurements; Geometry; Geophysics computing; Image recognition; Joining processes; Mathematical model; Mathematics; Shape; Statistical analysis; Statistics;
Conference_Titel :
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-7803-7576-9
DOI :
10.1109/ACSSC.2002.1197226