DocumentCode
393995
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
Volume
1
fYear
2002
fDate
3-6 Nov. 2002
Firstpage
468
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems and Computers, 2002. Conference Record of the Thirty-Sixth Asilomar Conference on
Conference_Location
Pacific Grove, CA, USA
ISSN
1058-6393
Print_ISBN
0-7803-7576-9
Type
conf
DOI
10.1109/ACSSC.2002.1197226
Filename
1197226
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