Surface Approximation to Scattered Lines

A global weighted-mean approximation to scattered lines is introduced. Rational Gaussian weights are stretched along lines and standard deviations of Gaussians are selected in such a way as to produce surfaces that closely follow data along lines. When the lengths of the lines approach zero, the proposed formulation converges to that of global weighted mean approximation to scattered points. Therefore, the traditional weighted mean approximation becomes a special case of the proposed approximation. Implementation strategies are presented and examples of surface approximation using range data and polygon meshes are given.

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