Publication
Title
Correspondence preserving elastic surface registration with shape model prior
Author
Abstract
In this paper, we describe a framework for surface registration. The framework consists of a combination of rigid registration, elasticity modulated registration and the use of a shape model prior. The main goal in this paper is to minimize the geometric surface registration error while maintaining correspondences. Experiments show improved geometric fit, correspondence, and timing compared to the current state of the art. Possible applications of the framework are construction of correspondences for shape models, reconstruction of missing parts, and artifact reduction.
Language
English
Source (journal)
Proceedings of the IAPR international conference on pattern recognition / IAPR International Conference on Pattern Recognition. - Los Alamitos
Source (book)
22nd International Conference on Pattern Recognition (ICPR), AUG 24-28, 2014, Swedish Soc Automated Image Anal, Stockholm, SWEDEN
Publication
Los alamitos : Ieee computer soc, 2014
ISBN
978-1-4799-5208-3
Volume/pages
(2014), p. 2143-2148
ISI
000359818002044
Full text (Publisher's DOI)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 05.10.2015
Last edited 01.08.2017
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