Titlebook: Geometric Modeling for Scientific Visualization; Guido Brunnett,Bernd Hamann,Lars Linsen Conference proceedings 2004 Springer-Verlag Berli

别炫耀

赞美者

Mesh-Independent Surface Interpolationhe general problem of approximating a (. − 1)-dimensional manifold in ℝ., . ≥ 2. The approach is applicable for interpolating or smoothing curve and surface data, as demonstrated here by some graphical examples.

疏远天际

动脉

皮萨

Fully Dynamic Constrained Delaunay Triangulationsand fixed on line. As a result, a fully Dynamic Constrained Delaunay Triangulation is achieved, able to efficiently maintain a consistent triangulated representation of dynamic polygonal domains. Several applications in the fields of data visualization, reconstruction, geographic information systems and collision-free path planning are discussed.

肿块

1612-3786 d disciplines, each with their own series of workshops, conferences and journals. But clearly both disciplines overlap, which led to the idea of composing a book on Geometric Modeling for Scientific Visualization. The editors received 39 submissions of high-quality research and survey papers, from w

overreach

Olga Inozemtseva,Edgar Mejía Núñezpaper we discuss a model for a general access to surface properties up to order two, i.e., surface-point locations, normals, and curvature properties, (almost) regardless of the origin of the surface. Surface types and access algorithms are compared and summarized. At the end of this paper we shortly present an implementation of this model.

唤起

Inferior

藐视

https://doi.org/10.1007/978-3-540-31744-9h topological modifications in order to iteratively smooth an initial crude polyline. One key feature of this algorithm is that it relies solely on the geometry of the surface and the polyline. Another key feature is that during the smoothing the polylines always stay on the surface. Different smoothing criteria are proposed.