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Shape modelling using Markov random field restoration of point correspondences.

作者信息

Paulsen Rasmus R, Hilger Klaus B

机构信息

Oticon Research Centre, Eriksholm Kongevejen 243, DK-3070 Snekkersten, Denmark.

出版信息

Inf Process Med Imaging. 2003 Jul;18:1-12. doi: 10.1007/978-3-540-45087-0_1.

DOI:10.1007/978-3-540-45087-0_1
PMID:15344442
Abstract

A method for building statistical point distribution models is proposed. The novelty in this paper is the adaption of Markov random field regularization of the correspondence field over the set of shapes. The new approach leads to a generative model that produces highly homogeneous polygonized shapes and improves the capability of reconstruction of the training data. Furthermore, the method leads to an overall reduction in the total variance of the point distribution model. Thus, it finds correspondence between semi-landmarks that are highly correlated in the shape tangent space. The method is demonstrated on a set of human ear canals extracted from 3D-laser scans.

摘要

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