Minimum feature size preserving decompositions

Computer Science – Computational Geometry

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

12 pages, 4 figures

Scientific paper

The minimum feature size of a crossing-free straight line drawing is the minimum distance between a vertex and a non-incident edge. This quantity measures the resolution needed to display a figure or the tool size needed to mill the figure. The spread is the ratio of the diameter to the minimum feature size. While many algorithms (particularly in meshing) depend on the spread of the input, none explicitly consider finding a mesh whose spread is similar to the input. When a polygon is partitioned into smaller regions, such as triangles or quadrangles, the degradation is the ratio of original to final spread (the final spread is always greater). Here we present an algorithm to quadrangulate a simple n-gon, while achieving constant degradation. Note that although all faces have a quadrangular shape, the number of edges bounding each face may be larger. This method uses Theta(n) Steiner points and produces Theta(n) quadrangles. In fact to obtain constant degradation, Omega(n) Steiner points are required by any algorithm. We also show that, for some polygons, a constant factor cannot be achieved by any triangulation, even with an unbounded number of Steiner points. The specific lower bounds depend on whether Steiner vertices are used or not.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Minimum feature size preserving decompositions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Minimum feature size preserving decompositions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Minimum feature size preserving decompositions will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-8229

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.