Shape comparison using perturbing shape registration

Shape registration is often involved in computing statistical differences between groups of shapes, which is a key aspect of morphometric study. The results of shape difference are found to be sensitive to registration, i.e., different registration methods lead to varied results. This raises the que...

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Bibliographic Details
Published in2009 IEEE Conference on Computer Vision and Pattern Recognition Vol. 2009; pp. 683 - 690
Main Authors Yifeng Jiang, Edmiston, Erin, Fei Wang, Blumberg, Hilary P, Staib, Lawrence H, Papademetris, Xenophon
Format Conference Proceeding Journal Article
LanguageEnglish
Published United States IEEE 20.06.2009
Subjects
Aggregates
Bioinformatics
Biomedical computing
Biomedical engineering
Biomedical measurements
Computed tomography
Psychiatry
Radiology
Shape measurement
Testing
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Summary:Shape registration is often involved in computing statistical differences between groups of shapes, which is a key aspect of morphometric study. The results of shape difference are found to be sensitive to registration, i.e., different registration methods lead to varied results. This raises the question of how to improve the reliability of registration procedures. This paper proposes a perturbation scheme, which perturbs registrations by feeding them with different resampled shape groups, and then aggregates the resulting shape differences. Experiments are conducted using three typical registration algorithms on both synthetic and biomedical shapes, where more reliable inter-group shape differences are found under the proposed scheme.
ISBN:1424439922
9781424439928
ISSN:1063-6919
1063-6919
2575-7075
DOI:10.1109/CVPR.2009.5206598