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dc.contributor.authorNain, Delphine
dc.contributor.authorHaker, Steven
dc.contributor.authorBobick, Aaron
dc.contributor.authorTannenbaum, Allen R.
dc.date.accessioned2009-07-27T18:19:16Z
dc.date.available2009-07-27T18:19:16Z
dc.date.issued2005-10
dc.identifier.citationDelphine Nain, Steven Haker, Aaron Bobick and Allen R. Tannenbaum, "Multiscale 3D Shape Analysis Using Spherical Wavelets," Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II, James S. Duncan and Guido Gerig, editors, Lecture Notes in Computer Science, Vol. 3750 (2005) 459-467.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/1853/29243
dc.description©2005 Springer. The original publication is available at www.springerlink.com: http://dx.doi.org/10.1007/11566489_57en
dc.descriptionDOI: 10.1007/11566489_57
dc.description.abstractShape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of variation, even from a limited training set. However, when significant local variations exist, PCA typically cannot represent such variations from a small training set. To address this issue, we present a novel algorithm that learns shape variations from data at multiple scales and locations using spherical wavelets and spectral graph partitioning. Our results show that when the training set is small, our algorithm significantly improves the approximation of shapes in a testing set over PCA, which tends to oversmooth data.en
dc.language.isoen_USen
dc.publisherGeorgia Institute of Technologyen
dc.subjectMultiscale shape segmentationen
dc.subjectShapeen
dc.subjectSegmentationen
dc.titleMultiscale 3D Shape Analysis using Spherical Waveletsen
dc.typePost-printen
dc.contributor.corporatenameGeorgia Institute of Technology. School of Electrical and Computer Engineering
dc.contributor.corporatenameGeorgia Institute of Technology. College of Computing
dc.contributor.corporatenameBrigham and Women’s Hospital. Dept. of Radiology. Surgical Planning Laboratory
dc.publisher.originalSpringer Verlag


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