학술논문
3D shape matching by geodesic eccentricity
Document Type
Conference
Author
Source
2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on. :1-8 Jun, 2008
Subject
Language
ISSN
2160-7508
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.