2 research outputs found
Conversion of matrix weighted rational B\'{e}zier curves to rational B\'{e}zier curves
Matrix weighted rational B\'{e}zier curves can represent complex curve shapes
using small numbers of control points and clear geometric definitions of matrix
weights. Explicit formulae are derived to convert matrix weighted rational
B\'{e}zier curves in 2D or 3D space to rational B\'{e}zier curves. A method for
computing the convex hulls of matrix weighted rational B\'{e}zier curves is
given as a conjecture.Comment: 6 pages, 2 figure
Anisotropic Mesh Filtering by Homogeneous MLS Fitting
In this paper we present a novel geometric filter, a homogeneous moving least
squares fitting-based filter (H-MLS filter), for anisotropic mesh filtering.
Instead of fitting the noisy data by a moving parametric surface and projecting
the noisy data onto the surface, we compute new positions of mesh vertices as
the solutions to homogeneous least squares fitting of moving constants to local
neighboring vertices and tangent planes that pass through the vertices. The
normals for defining the tangent planes need not be filtered beforehand but the
parameters for balancing the influences between neighboring vertices and
neighboring tangent planes are computed robustly from the original data under
the assumption of quadratic precision in each tangent direction. The weights
for respective neighboring points for the least squares fitting are computed
adaptively for anisotropic filtering. The filter is easy to implement and has
distinctive features for mesh filtering. (1) The filter is locally implemented
and has circular precision, spheres and cylinders can be recovered exactly by
the filter. (2) The filtered mesh has a high fidelity to the original data
without any position constraint and salient or sharp features can be preserved
well. (3) The filter can be used to filter meshes with various kinds of noise
as well as meshes with highly irregular triangulation.Comment: 13pages, 9 figure