Analysis of the Weight Function for Implicit Moving Least Squares Techniques

dc.contributor.authorYao, Zhujun
dc.date.accessioned2014-05-22T18:13:42Z
dc.date.available2014-05-22T18:13:42Z
dc.date.issued2014-05-22
dc.date.submitted2014
dc.description.abstractIn this thesis, I analyze the weight functions used in moving least squares (MLS) methods to construct implicit surfaces that interpolate or approximate polygon soup. I found that one previous method that presented an analytic solution to the integrated moving least squares method has issues with degeneracies because they changed the weight functions to decrease too slowly. Inspired by their method, I derived a bound for the choice of weight function for implicit moving least squares (IMLS) methods to avoid these degeneracies in two-dimensions and in three-dimensions. Based on this bound, I give a theoretical proof of the correctness of the moving least squares interpolation and approximation scheme with weight function used in Shen et al. when used on closed polyhedrons. Further, previous IMLS implicit surface reconstruction algorithms that ll holes and gaps create surfaces with obvious bulges due to an intrinsic property of MLS. I propose a generalized IMLS method using a Gaussian distribution function to re-weight each polygon, making nearer polygons dominate and reducing the bulges on holes and gaps.en
dc.identifier.urihttp://hdl.handle.net/10012/8498
dc.language.isoenen
dc.pendingfalse
dc.publisherUniversity of Waterlooen
dc.subjectImplicit Surfaceen
dc.subjectSurface Reconstructionen
dc.subjectWeight Functionen
dc.subjectMoving Least Squaresen
dc.subject.programComputer Scienceen
dc.titleAnalysis of the Weight Function for Implicit Moving Least Squares Techniquesen
dc.typeMaster Thesisen
uws-etd.degreeMaster of Mathematicsen
uws-etd.degree.departmentSchool of Computer Scienceen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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