DocumentCode
3458129
Title
Skeleton based shape matching and retrieval
Author
Sundar, H. ; Silver, D. ; Gagvani, N. ; Dickinson, S.
Author_Institution
Rutgers Univ., USA
fYear
2003
fDate
12-15 May 2003
Firstpage
130
Lastpage
139
Abstract
We describe a novel method for searching and comparing 3D objects. The method encodes the geometric and topological information in the form of a skeletal graph and uses graph matching techniques to match the skeletons and to compare them. The skeletal graphs can be manually annotated to refine or restructure the search. This helps in choosing between a topological similarity and a geometric (shape) similarity. A feature of skeletal matching is the ability to perform part-matching, and its inherent intuitiveness, which helps in defining the search and in visualizing the results. Also, the matching results, which are presented in a per-node basis can be used for driving a number of registration algorithms, most of which require a good initial guess to perform registration. We also describe a visualization tool to aid in the selection and specification of the matched objects.
Keywords
data visualisation; graph theory; image matching; image registration; image retrieval; 3D object comparison; 3D object searching; geometric information; geometric similarity; graph annotation; graph matching; object selection; object specification; shape retrieval; skeletal graph; skeleton based shape matching; skeleton matching; topological information; topological signature vector; topological similarity; visualization tool; Application software; Focusing; Image databases; Information retrieval; Joints; Shape; Silver; Skeleton; Visual databases; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Shape Modeling International, 2003
Print_ISBN
0-7695-1909-1
Type
conf
DOI
10.1109/SMI.2003.1199609
Filename
1199609
Link To Document