Feature sensitive multiscale editing on surfaces

  title={Feature sensitive multiscale editing on surfaces},
  author={Ulrich Clarenz and Michael Griebel and Martin Rumpf and Marc Alexander Schweitzer and Alexandru Telea},
  journal={The Visual Computer},
A novel editing method for large triangular meshes is presented. We detect surface features, such as edge and corners, by computing local zero and first surface moments, using a robust and noise resistant method. The feature detection is encoded in a finite element matrix, passed to an algebraic multigrid (AMG) algorithm. The AMG algorithm generates a matrix hierarchy ranging from fine to coarse representations of the initial fine grid matrix. This hierarchy comes along with a corresponding… CONTINUE READING
Highly Cited
This paper has 44 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 22 extracted citations

Manifold Curvature From Covariance Analysis

2018 IEEE Statistical Signal Processing Workshop (SSP) • 2018
View 2 Excerpts

Shape segmentation using medial point clouds with applications to dental cast analysis

2014 International Conference on Computer Vision Theory and Applications (VISAPP) • 2014
View 1 Excerpt

Multi-Scale Salient Features for Analyzing 3D Shapes

Journal of Computer Science and Technology • 2012
View 2 Excerpts


Publications referenced by this paper.
Showing 1-10 of 34 references

Spectral AMGe (ρAMGe)

SIAM J. Scientific Computing • 2003
View 1 Excerpt

Algebraic Multigrid Based on Element Interpolation (AMGe)

SIAM J. Scientific Computing • 2001
View 1 Excerpt

Multigrid , Appendix A . In : Stüben K ( ed ) An introduction to algebraic multigrid

U Trottenberg, CW Osterlee, A Schüller