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ariational Shape Appr ximation Da vid CohenSteiner Duk U

Pierre Alliez INRIA Mathieu Desbrun U of So Cal Abstract Achie ving ef 57346cienc in mesh processing often demands that erly erbose 3D datasets be reduced to more concise yet aithful repre sentations Despite numerous applications ranging from geomet

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ariational Shape Appr ximation Da vid CohenSteiner Duk U






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