Speaker: Tom Gur, 26.4.10 Seminar on Voronoi Diagrams and Delaunay Triangulations Material: [AK] Sections 3.4, 4.1, 4.2, 4.3.1.

Slides:



Advertisements
Similar presentations
Order-k Voronoi Diagram in the Plane
Advertisements

Dreiecke. Triangulation Voronoi Diagram / Delaunay Triangulation The mouse: Click the mouse in the drawing region to add new sites to the Voronoi Diagram.
Computational Geometry The systematic study of algorithms and data structures for geometric objects, with a focus on exact algorithms that are asymptotically.
Alpha Shapes. Used for Shape Modelling Creates shapes out of point sets Gives a hierarchy of shapes. Has been used for detecting pockets in proteins.
1/22 Worst and Best-Case Coverage in Sensor Networks Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, and Mani Srivastava IEEE TRANSACTIONS.
Worst & Best-Case Coverage in Sensors Networks DEC 2004 Presented by: Eugene Khokhlov (847) Seapahn Megerian Ph.D. UCLA.
Mathieu Brévilliers, Laboratoire MIA, UHA Elementary Partitions of Line Segments in the Plane.
Surface Reconstruction From Unorganized Point Sets
Getting A Speeding Ticket. Mesh Generation 2D Point Set Delaunay Triangulation 3D Point Set Delaunay Tetrahedralization.
Proximity graphs: reconstruction of curves and surfaces
KIM TAEHO PARK YOUNGMIN.  Curve Reconstruction problem.
Computational Geometry II Brian Chen Rice University Computer Science.
Ruslana Mys Delaunay Triangulation Delaunay Triangulation (DT)  Introduction  Delaunay-Voronoi based method  Algorithms to compute the convex hull 
EuroGIGA CRP “Spatial Decompositions and Graphs” (VORONOI) IP1: ADVANCED VORONOI AND DELAUNAY STRUCTURES Franz Aurenhammer IGI TU Graz Austria.
1st Meeting Industrial Geometry Computational Geometry ---- Some Basic Structures 1st IG-Meeting.
Dagstuhl Seminar Voronoi Diagrams for Oriented Spheres Franz Aurenhammer Joint work with M. Peternell H. Pottmann J. Wallner.
CSCE 620: Open Problem Voronoi Diagram of Moving Points Asish Ghoshal Problem 2 from The Open Problems Project 1.
Computational Geometry -- Voronoi Diagram
2. Voronoi Diagram 2.1 Definiton Given a finite set S of points in the plane , each point X of  defines a subset S X of S consisting of the points of.
3. Delaunay triangulation
Computational Geometry and Spatial Data Mining
1cs542g-term Notes. 2 Meshing goals  Robust: doesn’t fail on reasonable geometry  Efficient: as few triangles as possible Easy to refine later.
Delaunay Triangulation Computational Geometry, WS 2006/07 Lecture 11 Prof. Dr. Thomas Ottmann Algorithmen & Datenstrukturen, Institut für Informatik Fakultät.
Worst and Best-Case Coverage in Sensor Networks Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, Mani Srivastava IEEE TRANSACTIONS ON MOBILE.
CS 326 A: Motion Planning Criticality-Based Planning.
UMass Lowell Computer Science Advanced Algorithms Computational Geometry Prof. Karen Daniels Spring, 2007 Chapter 5: Voronoi Diagrams Wednesday,
UMass Lowell Computer Science Advanced Algorithms Computational Geometry Prof. Karen Daniels Spring, 2004 Chapter 5: Voronoi Diagrams Monday, 2/23/04.
Lecture 10 : Delaunay Triangulation Computational Geometry Prof. Dr. Th. Ottmann 1 Overview Motivation. Triangulation of Planar Point Sets. Definition.
Geometric Spanners for Routing in Mobile Networks Jie Gao, Leonidas Guibas, John Hershberger, Li Zhang, An Zhu.
Delaunay circumcircle Empty Circle (Sphere) Property:
1 Worst and Best-Case Coverage in Sensor Networks Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, Mani Srivastava IEEE TRANSACTIONS ON MOBILE.
Voronoi Diagrams and Delaunay Triangulations Generalized spaces and distances.
AOI cast Based Compass Routing in Distributed Virtual Environments Michele Albano, Luca Genovali Antonio Quartulli, Laura Ricci AOI CAST TOLERANCE BASED.
CS CS 175 – Week 3 Triangulating Point Clouds VD, DT, MA, MAT, Crust.
Anisotropic Voronoi Diagrams and Guaranteed-Quality Anisotropic Mesh Generation François Labelle Jonathan Richard Shewchuk Computer Science Division University.
UNC Chapel Hill M. C. Lin Point Location Chapter 6 of the Textbook –Review –Algorithm Analysis –Dealing with Degeneracies.
ADA: 14. Intro to CG1 Objective o give a non-technical overview of Computational geometry, concentrating on its main application areas Algorithm.
Voronoi diagrams and applications Prof. Ramin Zabih
Computational Geometry The systematic study of algorithms and data structures for geometric objects, with a focus on exact algorithms that are asymptotically.
PRE-TRIANGULATIONS Generalized Delaunay Triangulations and Flips Franz Aurenhammer Institute for Theoretical Computer Science Graz University of Technology,
Voronoi Diagrams and Problem Transformations Steven Love, supervised by: Jack Snoeyink and Dave Millman.
Yuanxin Liu, Jack Snoeyink UNC Chapel Hill Bivariate B-Splines From Centroid Triangulations.
Spatial Databases: Digital Terrain Model Spring, 2015 Ki-Joune Li.
Order-k Voronoi diagram in the plane Dominique Schmitt Université de Haute-Alsace.
Lecture 7 : Point Set Processing Acknowledgement : Prof. Amenta’s slides.
2/19/15CMPS 3130/6130 Computational Geometry1 CMPS 3130/6130 Computational Geometry Spring 2015 Voronoi Diagrams Carola Wenk Based on: Computational Geometry:
Voronoi Diagram (Supplemental)
CS558 Project Local SVM Classification based on triangulation (on the plane) Glenn Fung.
Computational Geometry The systematic study of algorithms and data structures for geometric objects, with a focus on exact algorithms that are asymptotically.
Kansas State University Department of Computing and Information Sciences Friday, July 13, 2001 Mantena V. Raju Department of Computing and Information.
L8 - Delaunay triangulation L8 – Delaunay triangulation NGEN06(TEK230) – Algorithms in Geographical Information Systems.
Universität Stuttgart Institute of Parallel and Distributed Systems (IPVS) Universitätsstraße 38 D Stuttgart Voronoi Overlay Networks Pavel Skvortsov.
How to tell the differences between a Cat and a Dog Masoud Alipour Ali Farhadi IPM – Scientific Computing Center Vision.
UNC Chapel Hill M. C. Lin Delaunay Triangulations Reading: Chapter 9 of the Textbook Driving Applications –Height Interpolation –Constrained Triangulation.
Coverage Problems in Wireless Ad-hoc Sensor Networks Seapahn Meguerdichian 1 Farinaz Koushanfar 2 Miodrag Potkonjak 1 Mani Srivastava 2 University of California,
Zero Skew Clock Routing ECE 556 Project Proposal John Thompson Kurt Ting Simon Wong.
1 Georgia Tech, IIC, GVU, 2006 MAGIC Lab Rossignac.
1 Giuseppe Romeo Voronoi based Source Detection. 2 Voronoi cell The Voronoi tessellation is constructed as follows: for each data point  i (also called.
3/3/15CMPS 3130/6130 Computational Geometry1 CMPS 3130/6130 Computational Geometry Spring 2015 Delaunay Triangulations I Carola Wenk Based on: Computational.
Using Delaunay Triangulation to Construct Obstacle Detour Mobility Model Dijiang Huang Computer Science and Electrical Engineering University of Missouri.
Bigyan Ankur Mukherjee University of Utah. Given a set of Points P sampled from a surface Σ,  Find a Surface Σ * that “approximates” Σ  Σ * is generally.
Honors Track: Competitive Programming & Problem Solving Seminar Topics Kevin Verbeek.
Delaunay Triangulations and Control-Volume Meshing Michael Murphy.
Graphics Programming 2006, Choi Nam-Seok, Dongseo Univ., Voronoi diagrams and Delaunay Triangulations Choi Nam-Seok.
Coverage and Deployment 1. Coverage Problems Coverage: is a measure of the Quality of Service (QoS) of a sensor network How well can the network observe.
Plot Diagram.
L1 Shortest Path Queries among Polygonal Obstacles in the Plane
PRELIMINARY UNIT. PRELIMINARY UNIT UNIDAD 1 ETAPA 1/ UNIT 1 SECTION 1.
Date Session Title Name Organization.
Presentation transcript:

Speaker: Tom Gur, Seminar on Voronoi Diagrams and Delaunay Triangulations Material: [AK] Sections 3.4, 4.1, 4.2, 4.3.1

Speaker: Tom Gur, Seminar on Voronoi Diagrams and Delaunay Triangulations Material: [AK] Sections 3.4, 4.1, 4.2, 4.3.1

What we are going to talk about ? Sweep algorithm (Fortune's algorithm) Characterization of Voronoi diagrams Optimization properties of Delaunay triangulations Voronoi diagrams and Delaunay triangulations in 3-space

Preliminaries

Sweep Algorithm

Characterization of Voronoi diagrams

Optimization properties of Delaunay triangulations

Optimization properties of Delaunay Triangulations

Delaunay Triangulations in 3-space

Voronoi Diagrams in 3-space

Edge-flip in 3-space