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Computer Aided Geometric Design
Efficient, fair interpolation using Catmull-Clark surfaces
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Piecewise smooth surface reconstruction
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Exact evaluation of Catmull-Clark subdivision surfaces at arbitrary parameter values
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Subdivision Surface Fitting to a Range of Points
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IEEE Transactions on Visualization and Computer Graphics
Point-tangent/point-normal B-spline curve interpolation by geometric algorithms
Computer-Aided Design
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Computer Aided Geometric Design
The convergence of the geometric interpolation algorithm
Computer-Aided Design
Locally adjustable interpolation for meshes of arbitrary topology
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part I
Technical Section: An extended iterative format for the progressive-iteration approximation
Computers and Graphics
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Computer-Aided Design
Weighted progressive interpolation of Loop subdivision surfaces
Computer-Aided Design
B-spline surface fitting by iterative geometric interpolation/approximation algorithms
Computer-Aided Design
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We present a novel geometric algorithm to construct a smooth surface that interpolates a triangular or a quadrilateral mesh of arbitrary topological type formed by n vertices. Although our method can be applied to B-spline surfaces and subdivision surfaces of all kinds, we illustrate our algorithm focusing on Loop subdivision surfaces as most of the meshes are in triangular form. We start our algorithm by assuming that the given triangular mesh is a control net of a Loop subdivision surface. The control points are iteratively updated globally by a simple local point-surface distance computation and an offsetting procedure without solving a linear system. The complexity of our algorithm is O(mn) where n is the number of vertices and m is the number of iterations. The number of iterations m depends on the fineness of the mesh and accuracy required.