3D shape matching by geodesic eccentricity

Author

Ion, Adrian ; Artner, Nicole M. ; Peyre, Gabriel ; Marmol, Salvador B Lopez ; Kropatsch, Walter G. ; Cohen, Laurent

Author_Institution

Vienna Univ. of Technol., Vienna

fYear

2008

fDate

23-28 June 2008

Firstpage

1

Lastpage

8

Abstract

This paper makes use of the continuous eccentricity transform to perform 3D shape matching. The eccentricity transform has already been proved useful in a discrete graph-theoretic setting and has been applied to 2D shape matching. We show how these ideas extend to higher dimensions. The eccentricity transform is used to compute descriptors for 3D shapes. These descriptors are defined as histograms of the eccentricity transform and are naturally invariant to Euclidean motion and articulation. They show promising results for shape discrimination.

Keywords

differential geometry; graph theory; image matching; 2D shape matching; 3D shape matching; Euclidean motion; continuous eccentricity transform; discrete graph-theoretic setting; geodesic eccentricity; shape discrimination; Character recognition; Computer aided manufacturing; Computer vision; Discrete transforms; Geophysics computing; Grid computing; Histograms; Shape; Topology; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on

Conference_Location

Anchorage, AK

ISSN

2160-7508

Print_ISBN

978-1-4244-2339-2

Electronic_ISBN

2160-7508

Type

conf

DOI

10.1109/CVPRW.2008.4563032

Filename

4563032