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dc.contributor.authorGortler, Steven
dc.contributor.authorCohen, Michael F.
dc.date.accessioned2009-02-26T15:27:26Z
dc.date.issued1995
dc.identifier.citationGortler, Steven J. and Michael F. Cohen. 1995. Hierarchical and variational geometric modeling with wavelets. In Proceedings of the 1995 symposium on interactive 3D graphics (SIGGRAPH 1995), April 9-12, 1995, Monterey, California, ed. SIGGRAPH and Michael J. Zyda, 35-42, 205. New York: ACM Press.en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:2634298
dc.description.abstractThis paper discusses how wavelet techniques may be applied to a variety of geometric modeling tools. In particular, wavelet decompositions are shown to be useful for hierarchical control point or least squares editing. In addition, direct curve and surface manipulation methods using an underlying geometric variational principle can be solved more efficiently by using a wavelet basis. Because the wavelet basis is hierarchical, iterative solution methods converge rapidly. Also, since the wavelet coefficients indicate the degree of detail in the solution, the number of basis functions needed to express the variational minimum can be reduced, avoiding unnecessary computation. An implementation of a curve and surface modeler based on these ideas is discussed and experimental results are reported.en
dc.description.sponsorshipEngineering and Applied Sciencesen
dc.language.isoen_USen
dc.publisherAssociation for Computing Machineryen
dc.relation.isversionofhttp://dx.doi.org/10.1145/199404.199410en
dash.licenseLAA
dc.titleHierarchical and Variational Geometric Modeling with Waveletsen
dash.depositing.authorGortler, Steven
dc.identifier.doi10.1145/199404.199410*
dash.contributor.affiliatedGortler, Steven


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