'Medial axis' diaporamas de présentation

Proximity graphs: reconstruction of curves and surfaces

Proximity graphs: reconstruction of curves and surfaces. Framework. Duality between the Voronoi diagram and the Delaunay triangulation. Power diagram. Alpha shape and weighted alpha shape. The Gabriel Graph. The beta-skeleton Graph. A-shape and Crust.

955 views • 68 slides

Some Topics in Computational Topology

Some Topics in Computational Topology. Yusu Wang Ohio State University AMS Short Course 2014. Introduction. Much recent developments in computational topology Both in theory and in their applications E.g , the theory of persistence homology

849 views • 66 slides

Some Topics in Computational Topology

Some Topics in Computational Topology. Yusu Wang Ohio State University AMS Short Course 2014. Introduction. Much recent developments in computational topology Both in theory and in their applications E.g , the theory of persistence homology

836 views • 66 slides

Computing Shapes and Their Features from Point Samples

Computing Shapes and Their Features from Point Samples. Tamal K. Dey The Ohio State University. Problems. Surface reconstruction (Cocone) Medial axis (Medial) Shape segmentation and matching (SegMatch). `. Surface Reconstruction. Point Cloud. Surface Reconstruction.

1.26k views • 61 slides

Computing Stable and Compact Representation of Medial Axis

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BIOMECHANICS

BIOMECHANICS. What is Biomechanics. Biomechanics is the sport science field that applies the laws of mechanics and physics to human performance. Biomechanics is the study of how and why the human body moves. Why is Biomechanics so Important?.

2.04k views • 46 slides

Dual Marching Cubes

Dual Marching Cubes. Scott Schaefer and Joe Warren. Perform marching cubes over a sparse dual grid. Goals: Capture thin features & Use fewer triangles. Dual Marching Cubes (440 tris). Marching Cubes (67k tris). Dual Contouring (17k tris). Process Overview:.

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Delaunay Meshing of Surfaces

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Analyzing Configurations of Objects in Images via

Analyzing Configurations of Objects in Images via Medial/Skeletal Linking Structures. Workshop on Geometry for Anatomy Banff International Research Station August, 2011. James Damon (joint with Ellen Gasparovic). Overview.

503 views • 31 slides

Bernhard Kornberger Institute for Software Technology, TU Graz

Bernhard Kornberger Institute for Software Technology, TU Graz. Approximating Solids by Balls (in collaboration with subproject: "Applications of Higher Geometrics"). Overview. Motivation: Definition of the Minkowski addition An application for Minkowski sums Approximation

442 views • 30 slides

Sampling Strategies for PRMs

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3D Shape Registration using Regularized Medial Scaffolds

3D Shape Registration using Regularized Medial Scaffolds. 3DPVT 2004 Thessaloniki, Greece Sep. 6-9, 2004. Ming-Ching Chang Frederic F. Leymarie Benjamin B. Kimia. LEMS, Division of Engineering, Brown University. Outline. Registration Background

389 views • 27 slides

Probabilistic Roadmap Methods (PRMs)

Probabilistic Roadmap Methods (PRMs). Nancy M. Amato Parasol Lab,Texas A&M University. The Piano Movers Problem. (Basic) Motion Planning : Given a movable object and a description of the environment , find a sequence of valid configurations that moves it from the start to the goal.

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Sampling From the Medial Axis

Sampling From the Medial Axis. Presented by Rahul Biswas April 23, 2003 CS326A: Motion Planning. Citation. Motion Planning for a Rigid Body Using Random Networks on the Medial Axis of the Free Space Steven A. Wilmarth, Nancy M. Amato, and Peter F. Stiller

412 views • 23 slides

REU Program: Week 3 Presentation

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MAP: Medial Axis Based Geometric Routing in Sensor Networks

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Stealth-Based Path Planning using Corridor Maps

Stealth-Based Path Planning using Corridor Maps. Roland Geraerts and Erik Schager CASA 2010. Requirements. Fast and flexible 2D path planner Real-time planning for thousands of characters Dealing with local hazards Global path Natural paths Smooth Short Keeps some distance to obstacles

342 views • 15 slides

Medial Axis Extraction of 3D Objects Through Radial Basis Functions

Medial Axis Extraction of 3D Objects Through Radial Basis Functions. Ming Ouhyoung, Professor Communication and Multimedia Lab Dept. of CSIE, National Taiwan University. Introduction. We use radial basis function to extract the skeleton (medial axis) of an arbitrary polygonal model

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