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According to the problem that K-Means clustering algorithm fails to correctly distinguish non-convex shape clusters, computation mode of distance in the algorithm is changed and density metric mode which can reflect the characteristics of data themselves is adopted instead. In the mode, Delaunay triangulation graph which has the advantages of nearest neighbour and adjacency is introduced to compute...
In segmentation for reverse engineering, an input triangular mesh is usually split into segments for each of which a parametric surface is generated. The segment boundaries must be smooth for fine surfaces to be generated, but today's segmentation methods cannot necessarily generate a sufficient level of smoothness. The authors of this paper were inspired by the work reported in, and here try to extend...
In this paper we present an algorithm for watertight meshing of closed, sketched curves. The sketch is resampled as a piecewise linear (PWL) curve and placed onto a triangular grid. A small boundary (seed) that describes a closed path along grid points is placed inside the sketch and grown until it resembles the sketch. Vertices of the evolved grid boundary are projected onto the stroke to establish...
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangulated mesh models heavily relying on the quadratic regularization term are difficult to accurately capture large deformations, such as severe bending. In this paper, we propose a novel Gaussian process regression approach to...
This paper presents a new technique to generate triangular mesh surface parameterization and characterize 3-D surfaces by invariant spherical harmonic shape descriptors of objects with spherical topology. First, the surface is initially parameterized by defining a continuous one-to-one mapping from the surface of the object to the surface of a unit sphere. Then, the initial parameterization is optimized...
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