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3D shape matching by geodesic eccentricity

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peyre_shape matching.pdf (357.5Kb)
Date
2008
Link to item file
https://hal.archives-ouvertes.fr/hal-00419826
Dewey
Probabilités et mathématiques appliquées
Sujet
3D shape matching
DOI
http://dx.doi.org/10.1109/CVPRW.2008.4563032
Conference country
UNITED STATES
Book title
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. Proceedings
Publisher
IEEE
Publisher city
Piscataway, NJ
Year
2008
ISBN
978-1-4244-2339-2
URI
https://basepub.dauphine.fr/handle/123456789/12860
Collections
  • CEREMADE : Publications
Metadata
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Author
Ion, Adrian
Artner, Nicole M.
Peyré, Gabriel
Lopez Marmol, Salvador B.
Kropatsch, Walter G.
Cohen, Laurent D.
Type
Communication / Conférence
Item number of pages
1-8
Abstract (EN)
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.

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