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WG
2010
Springer
15 years 2 months ago
Graphs with Large Obstacle Numbers
Motivated by questions in computer vision and sensor networks, Alpert et al. [3] introduced the following definitions. Given a graph G, an obstacle representation of G is a set of...
Padmini Mukkamala, János Pach, Deniz Sari&o...
RSCTC
2004
Springer
237views Fuzzy Logic» more  RSCTC 2004»
15 years 9 months ago
An Automated Multi-spectral MRI Segmentation Algorithm Using Approximate Reducts
Abstract. We introduce an automated multi-spectral MRI segmentation technique based on approximate reducts derived from the data mining paradigm of the theory of rough sets. We uti...
Sebastian Widz, Kenneth Revett, Dominik Slezak
SMI
2005
IEEE
156views Image Analysis» more  SMI 2005»
15 years 9 months ago
Visualization of Point-Based Surfaces with Locally Reconstructed Subdivision Surfaces
Point-based surfaces (i.e. surfaces represented by discrete point sets which are either directly obtained by current 3D acquisition devices or converted from other surface represe...
Tamy Boubekeur, Patrick Reuter, Christophe Schlick
CCCG
2010
15 years 5 months ago
Blocking delaunay triangulations
Given a set B of n blue points in general position, we say that a set of red points R blocks B if in the Delaunay triangulation of B R there is no edge connecting two blue points...
Oswin Aichholzer, Ruy Fabila Monroy, Thomas Hackl,...
EATCS
2000
67views more  EATCS 2000»
15 years 4 months ago
Low-Discrepancy Sets For High-Dimensional Rectangles: A Survey
A sub-area of discrepancy theory that has received much attention in computer science recently, is that of explicit constructions of low-discrepancy point sets for various types o...
A. Srinivasan