Implicit Surface Reconstruction and Feature Detection with a Learning Algorithm

In this paper we presented a novel algorithm for shape matching by using surface pockets in the complementary space as a volumetric shape function and compute an affine-

When the algorithm terminates, a SLIM surface which has twice the number of hierarchical implicit surfaces as faces of a mesh is created.. Figure 5:

This paper describes an algorithm for multi-feature match- ing of 3D shapes with priority-driven search. The main con- tribution is an algorithm for searching a database for the

The streaming surface reconstruction algorithm alternates the incremental Delaunay triangulation of the loaded data, a Delaunay refinement process that splits Delau- nay

An implicit surface is generated by assigning a density distribution to each particle in the first step and then the surface constructed from the density distribution is changed to

In this paper we present an improvement of an existing algorithm that allows to compute a surface skeleton from a binary volume and makes an intensive use of Boolean op- erations..

Ahmad Ramli and Ioannis Ivrissimtzis / Distance based feature detection on 3D point sets noise usually associated with implicit surface reconstruction.. [HDD ∗ 92, CBC

Regarding the underlying polygonal representation of the implicit surface, our approach presents a novel adaptive polygonization algorithm based on curvature information extracted