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The optimal transformation is hierarchically refined in a subdivision framework.
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This study is part of a comprehensive process in the City of New Bern, North Carolina aimed at drafting a subdivision regulatory framework that promotes sustainable residential developments with a heightened sense of community and vitality.
This study is part of a comprehensive process aimed at drafting a subdivision regulatory framework that not only thwarts poorly planned developments, but also encourages well-planned ones with a sense of sociability and physical quality that complements New Bern's small-town appeal.
In this framework, feature objects are defined by the subdivision model, so that the subdivision models can be controlled by geometric parameters.
This simple connection allows us to put the construction under the mathematical framework of subdivision operators and refinement equations.
In order to generate higher quality surfaces with better-distributed mean-curvature normals, we propose a novel framework to apply subdivision for shape modeling, which combines subdivision with differential shape processing.
Finally, we demonstrate the improvement on surface quality by comparing the results between our framework and traditional subdivision methods.
Our FEM-based approach significantly advances the state-of-the-art in physics-based geometric modeling since it provides a universal physics-based framework for any subdivision scheme.
The framework considers the subdivision of the cleanup horizon in a number of stress periods over which the pumping policy implemented until that stage is dynamically adjusted based upon new information that has become available in the previous stages.
We present our novel FEM for the modified butterfly and Catmull Clark subdivision schemes, and generalize our dynamic framework to be applicable to other subdivision schemes.
Within a single framework, we combine the subdivision rules that can produce 1-, 2-, and 3-manifolds in arbitrary n-D space.
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