Title
Correspondence preserving elastic surface registration with shape model prior
Author
Faculty/Department
Faculty of Sciences. Biology
Faculty of Sciences. Physics
Faculty of Design Sciences
Publication type
conferenceObject
Publication
Los alamitos :Ieee computer soc ,
Subject
Physics
Engineering sciences. Technology
Computer. Automation
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
Volume/pages
(2014) , p. 2143-2148
ISSN
1051-4651
ISBN
978-1-4799-5208-3
ISI
000359818002044
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
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