| A. Sheffer, E. de Sturler, Parameterization of faceted surfaces for meshing using angle based flattening, Engineering with Computers 17 (3) (2001) 326--337. |
....on the surface, which have higher priority and are less distorted in the parameterization. Haker et al. 6] propose an interesting method to embed a closed surface onto a sphere by computing a conformal mapping which preserves angles of the mesh triangles. Another work by Sheffer and de Sturler [15] also concentrates on preserving angles of the mesh while mapping it onto the 2D plane. The mapping is defined in terms of the angles only, and an optimal solution is proven to exist. However, these methods still impose high distortion on highly curved surfaces and may cause global ....
....to eliminate them, adding to the computational cost of the solution. A recent work by Zigelman et al. 21] analytically finds an embedding of an open mesh in the plane by a multi dimensional scaling (MDS) method that optimally preserves the geodesic distances between mesh vertices. As in [9, 15], this approach does not require forcing the mapping of the surface boundary, which allows better parameterizations to be generated. Like other global optimizationbased techniques, this method is computationally expensive and does not guarantee self intersections. Bennis et al. 1] propose a ....
[Article contains additional citation context not shown here]
Alla Sheffer and Eric de Sturler. Parameterization of faceted surfaces for meshing using angle based flattening. Engineering with Computers, 17(3):326--337, 2001.
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A. Sheffer and E. de Sturler. Parameterization of faceted surfaces for meshing using angle based flattening, Engineering with Computers, 17(3):326-337, 2001.
....the threedimensional surface, while satisfying a set of constraints on the angles that ensure the validity of the at mesh. The solution of a constrained minimization problem may be expensive, and in our earlier papers we did not concentrate on this aspect. We did introduce iterative solvers in [20], which will be necessary for solving large sparse linear systems in the optimization algorithm for large problems. In this paper we focus on fast methods to solve the linear systems arising in the optimization algorithm. We will discuss the algorithm in more detail later. It turns out that only a ....
....the optimization algorithm for large problems. In this paper we focus on fast methods to solve the linear systems arising in the optimization algorithm. We will discuss the algorithm in more detail later. It turns out that only a small number of nonlinear iterations are necessary to converge; see [19, 20]. In most of these nonlinear steps the convergence of the iterative solver is very rapid. However, for some problems in a few intermediate nonlinear steps the linear solver stagnates or converges very slowly. Hence, these iterations dominate the overall cost of the nonlinear iteration. We will ....
[Article contains additional citation context not shown here]
Alla Sheer and Eric de Sturler. Parameterization of faceted surfaces for meshing using angle based attening. Engineering with Computers (Springer). accepted.
....the three dimensional surface, while satisfying a set of constraints on the angles that ensure the validity of the flat mesh. The solution of a constrained minimization problem may be expensive, and in our earlier papers we did not concentrate on this aspect. We did introduce iterative solvers in [20], which will be necessary for solving large sparse linear systems in the optimization algorithm for large problems. In this paper we focus on fast methods to solve the linear systems arising in the optimization algorithm. We will discuss the algorithm in more detail later. It turns out that only a ....
....the optimization algorithm for large problems. In this paper we focus on fast methods to solve the linear systems arising in the optimization algorithm. We will discuss the algorithm in more detail later. It turns out that only a small number of nonlinear iterations are necessary to converge; see [19, 20]. In most of these nonlinear steps the convergence of the iterative solver is very rapid. However, for some problems in a few intermediate nonlinear steps the linear solver stagnates or converges very slowly. Hence, these iterations dominate the overall cost of the nonlinear iteration. We will ....
[Article contains additional citation context not shown here]
Alla Sheffer and Eric de Sturler. Parameterization of faceted surfaces for meshing using angle based flattening. Engineering with Computers (Springer). accepted.
No context found.
A. Sheffer, E. de Sturler, Parameterization of faceted surfaces for meshing using angle based flattening, Engineering with Computers 17 (3) (2001) 326--337.
No context found.
A. Sheffer and E. de Sturler. Parameterization of faceted surfaces for meshing using angle based flattening. Engineering with Computers, 17(3):326--337, 2000.
No context found.
Alla She#er and Eric de Sturler. Parameterization of faceted surfaces for meshing using angle based flattening. Engineering with Computers, 17(3):326--337, 2000.
No context found.
A. Sheffer, E. de Sturler, Parameterization of faceted surfaces for meshing using angle based flattening, Engineering with Computers 17 (3) (2001) 326--337.
No context found.
Alla Sheffer and Eric de Sturler. Parameterization of faceted surfaces for meshing using angle-based flattening. Engineering with Computers, 17(3):326--337, 2001. 5
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A. Sheffer and E. de Sturler, "Parameterization of faceted surfaces for meshing using angle-based flattening," in Engineering with Computers, vol. 17, 2001, pp. 326--337.
No context found.
A. Sheffer and E. de Sturler, "Parameterization of faceted surfaces for meshing using angle-based flattening," in Engineering with Computers, vol. 17, 2001, pp. 326--337.
No context found.
Sheffer, A., and Sturler, E. Parameterization of faceted surfaces for meshing using angle-based flattening. vol. 17, pp. 326--337.
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