Anisotropic Normal Estimation for Sparse Point Clouds
نویسندگان
چکیده
This technical report presents a normal estimation method for point clouds with low sampling density and sharp features. To achieve the best trade-off between quality and performance, normal of a point on smooth regions is estimated using a isotropic neighborhood with constant size; but normal of a point near features are evaluated with an anisotropic neighborhood from which the local tangent plane can be reliably approximated.
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