Correspondence establishment in statistical modeling of shapes with arbitrary topology

Syrkina, Ekaterina; Gonzalez Ballester, Miguel A.; Székely, Gábor (2007). Correspondence establishment in statistical modeling of shapes with arbitrary topology. In: 11th International Conference on Computer Vision, 2007. ICCV 2007 (pp. 1-7). IEEE 10.1109/ICCV.2007.4409162

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Correspondence establishment is a key step in statistical shape model building. There are several automated methods for solving this problem in 3D, but they usually can only handle objects with simple topology, like that of a sphere or a disc. We propose an extension to correspondence establishment over a population based on the optimization of the minimal description length function, allowing considering objects with arbitrary topology. Instead of using a fixed structure of kernel placement on a sphere for the systematic manipulation of point landmark positions, we rely on an adaptive, hierarchical organization of surface patches. This hierarchy can be built on surfaces of arbitrary topology and the resulting patches are used as a basis for a consistent, multi-scale modification of the surfaces' parameterization, based on point distribution models. The feasibility of the approach is demonstrated on synthetic models with different topologies.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute for Surgical Technology & Biomechanics ISTB

UniBE Contributor:

Syrkina, Ekaterina; Gonzalez Ballester, Miguel Angel and Székely, Gabor

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

1550-5499

ISBN:

978-1-4244-1631-8

Publisher:

IEEE

Language:

English

Submitter:

Factscience Import

Date Deposited:

04 Oct 2013 14:57

Last Modified:

08 Jun 2016 10:43

Publisher DOI:

10.1109/ICCV.2007.4409162

Web of Science ID:

000255099302076

BORIS DOI:

10.7892/boris.24202

URI:

https://boris.unibe.ch/id/eprint/24202 (FactScience: 47435)

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