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To the Graduate Council: I am submitting herewith a dissertation ...

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order models entail significantly less computational efforts than second order models.The volume between two surfaces normalized by <strong>the</strong> surface area was used as an invariantquantitative measure for comparing surface reconstruction results. This measureis invariant with respect to rotations and translations of coordinate systems. The algorithmfor surface reconstruction consists of three steps: an initial reconstruction,partial derivative estimates from <strong>the</strong> initial reconstruction result, and <strong>the</strong>n a secondreconstruction which uses <strong>the</strong> estimated derivatives. The estimated derivatives are insertedas constants into an approximately invariant energy functional which make itconvex. In order to estimate <strong>the</strong> derivatives, <strong>the</strong> input surface is reconstructed using asimple membrane regularization technique. The final reconstructed results depend on<strong>the</strong> reasonable derivative estimates. The stabilizing term is defined as∫∫h =√( 1+zx 2 + zy 2 − 1)dxdy (2.8)where z x and z y are <strong>the</strong> partial derivatives of <strong>the</strong> height map. Then (2.8) is approximatedby a convex function. The reason for using (2.8) was not clearly stated, but as shownby <strong>the</strong> analysis in Section 3.2.1, it is similar to minimizing <strong>the</strong> surface area of a heightmap. The 3D objects used in <strong>the</strong> experiments have simple shapes.Because <strong>the</strong> above methods assume that <strong>the</strong> surface is a height map, <strong>the</strong>y cannot beapplied to smooth arbitrarily defined surfaces. Ano<strong>the</strong>r category of surface smoothingmethods, which is known as discrete surface fairing, directly process <strong>the</strong> surface meshand are able to smooth arbitrary surfaces. Taubin [93] applied a weighted Laplacian14

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