Subdivision in Willmore Flow Problems
|
|
- Annis Dorcas Johnson
- 5 years ago
- Views:
Transcription
1 Subdivision in Willmore Flow Problems Jingmin Chen 1 Sara Grundel 2 Rob Kusner 3 Thomas Yu 1 Andrew Zigerelli 1 1 Drexel University, Philadelphia 2 New York University and Max Planck Institute Magdeburg 3 University of Massachusetts, Amherst November 2, 2012
2 Red Blood Cells
3 Genus 1 Lipid
4 Canham-Helfrich Model for Lipid Bilayer Let H be the mean curvature and K be the Gauss curvature. min αh 2 + βk da S subject to: 1 area constraint: 2 volume constraint: V = 1 3 S A = S S 1 da = a 0 [xî + yĵ + zˆk] da = v 0 3 bilayer area difference constraint: M = H da = m 0 S (α, β, a 0, v 0, m 0 - constants determined by physical conditions)
5 Canham-Helfrich Model for Lipid Bilayer Let H be the mean curvature and K be the Gauss curvature. min αh 2 + βk da S subject to: 1 area constraint: 2 volume constraint: V = 1 3 S A = S S 1 da = a 0 [xî + yĵ + zˆk] da = v 0 3 bilayer area difference constraint: M = H da = m 0 S (α, β, a 0, v 0, m 0 - constants determined by physical conditions)
6 Lipid Bilayer Membrane Cross-section: S H da = lim ε 0 area difference of the two ε-offset surfaces of S 2ε
7 By Gauss-Bonnet Theorem, S K da = 4π(1 g), we get the following equivalent problem. subject to: min W (C) := H 2 da C S(C) A = S 1 da = a 0 V = 1 3 S [xî + yĵ + zˆk] da = v 0 M = S H da = m 0
8 Previous Computational Work Pioneer work: Brakke s surface evolver Recent work: Driuzk, Bonita-Nochetto-Pauletti uses piecewise linear/quadratic surfaces requires technical weak formulations Also: Bobenko-Schröder defines a discrete Willmore energy on piecewise linear surfaces, respecting Möbius invariance unknown connection to the continuous Willmore energy did not explore the lipid bilayer problem
9 Our approach based on subdivision surfaces computes bona-fide Willmore energy, hence NO weak formulation computes gradient of W, A, V, M w.r.t. control data uses standard optimization solvers sped up by multiscale optimization
10 Our approach based on subdivision surfaces computes bona-fide Willmore energy, hence NO weak formulation computes gradient of W, A, V, M w.r.t. control data uses standard optimization solvers sped up by multiscale optimization
11 Our approach based on subdivision surfaces computes bona-fide Willmore energy, hence NO weak formulation computes gradient of W, A, V, M w.r.t. control data uses standard optimization solvers sped up by multiscale optimization
12 Subdivision Surface 1-4 refinement (connectivity) Subdivision rule (geometric positions) S = S(C), C R 3 #V - (coarse scale) control data
13 Subdivision Surface 1-4 refinement (connectivity) Subdivision rule (geometric positions) S = S(C), C R 3 #V - (coarse scale) control data
14 2-D Box Splines & Ordinary Rules Features of this subdivision scheme: Acts locally Shift invariant D6 Symmetric Linear Converge to C 2 spline function
15 2-D Box Splines & Subdivision
16 Surfaces of arbitrary topology Bad news: Tori are the only surfaces that can be regularly triangulated (By Euler characteristics V E + F = 2(1 g))
17 Surfaces of arbitrary topology Bad news: Tori are the only surfaces that can be regularly triangulated (By Euler characteristics V E + F = 2(1 g)) Good news: Any extraordinary vertex will be isolated in this iterative 1-4 refinement process
18 Extraordinary vertex rule Loop: β = 1 k (5 8 ( cos 2π k )2 ).
19 Patch layout
20 Computation of Willmore energy and its gradient P = C ν Φ ν = C η B η D Cν W = D Cη W D Cν C η
21 Multiscale Minimization Minimize at coarsest scale Subdivide Minimize at finer scale Subdivide Minimize at next finer scale... Feature: built-in subdivision structure guarantees (i) well-definitedness of W-energy at all scales and (ii) progressive improvement Also: 4-th order accurate
22 Uniqueness of W -energy minimization Open question Do we have uniqueness up to rigid motions? Recall the following facts: W invariant under rigid motion, scaling, and sphere inversion the 3-D Möbius group dim Möb(3) = 10 There are still 4 degrees of freedom left!
23 Uniqueness of W -energy minimization Open question Do we have uniqueness up to rigid motions? Recall the following facts: W invariant under rigid motion, scaling, and sphere inversion the 3-D Möbius group dim Möb(3) = 10 There are still 4 degrees of freedom left!
24 Uniqueness(unconstrained) For unconstrained W -energy minimization: Genus 0: round spheres A round sphere is invariant under Möbius transformations.
25 Uniqueness(unconstrained) For unconstrained W -energy minimization: Genus 0: round spheres A round sphere is invariant under Möbius transformations. Genus 1: Clifford torus (Willmore s conjecture, Marques-Neves theorem since Feb 27, 2012)
26 Uniqueness(unconstrained) For unconstrained W -energy minimization: Genus 0: round spheres A round sphere is invariant under Möbius transformations. Genus 1: Clifford torus (Willmore s conjecture, Marques-Neves theorem since Feb 27, 2012) Genus 2: Lawson s surface (Kusner s conjecture)
27 Uniqueness(constrained) By the Hurwitz 84(g-1) theorem, conclusion for the (A, V, M) constrained Willmore problem: non-uniqueness for genus 2 uniqueness problem far from settled when genus = 0, 1
28 Uniqueness(constrained) By the Hurwitz 84(g-1) theorem, conclusion for the (A, V, M) constrained Willmore problem: non-uniqueness for genus 2 uniqueness problem far from settled when genus = 0, 1
29 Open questions numerical exploration of uniqueness simulation of conformal diffusion numerical analysis of proposed subdivision approach
30 Open questions numerical exploration of uniqueness simulation of conformal diffusion numerical analysis of proposed subdivision approach Thanks for your attention!
Numerical Methods for Biomembranes based on PL Surfaces
Numerical Methods for Biomembranes based on PL Surfaces John P. Brogan 1, Yilin Yang 2, and Thomas P.-Y. Yu 3 1 Department of Mathematics, Drexel University, jpb345@drexel.edu 2 Center for Computational
More informationA Flexible C 2 Subdivision Scheme on the Sphere: With Application to Biomembrane Modelling
SIAM J. APPL. ALGEBRA GEOMETRY Vol. 1, pp. 459 483 c 2017 Society for Industrial and Applied Mathematics A Flexible C 2 Subdivision Scheme on the Sphere: With Application to Biomembrane Modelling Jingmin
More informationSubdivision. Outline. Key Questions. Subdivision Surfaces. Advanced Computer Graphics (Spring 2013) Video: Geri s Game (outside link)
Advanced Computer Graphics (Spring 03) CS 83, Lecture 7: Subdivision Ravi Ramamoorthi http://inst.eecs.berkeley.edu/~cs83/sp3 Slides courtesy of Szymon Rusinkiewicz, James O Brien with material from Denis
More informationConstrained Willmore Tori in the 4 Sphere
(Technische Universität Berlin) 16 August 2006 London Mathematical Society Durham Symposium Methods of Integrable Systems in Geometry Constrained Willmore Surfaces The Main Result Strategy of Proof Constrained
More informationThree Points Make a Triangle Or a Circle
Three Points Make a Triangle Or a Circle Peter Schröder joint work with Liliya Kharevych, Boris Springborn, Alexander Bobenko 1 In This Section Circles as basic primitive it s all about the underlying
More informationEmbedded graphs. Sasha Patotski. Cornell University November 24, 2014
Embedded graphs Sasha Patotski Cornell University ap744@cornell.edu November 24, 2014 Sasha Patotski (Cornell University) Embedded graphs November 24, 2014 1 / 11 Exercise Embed K 6 and K 7 into a torus.
More informationTopic: Orientation, Surfaces, and Euler characteristic
Topic: Orientation, Surfaces, and Euler characteristic The material in these notes is motivated by Chapter 2 of Cromwell. A source I used for smooth manifolds is do Carmo s Riemannian Geometry. Ideas of
More informationShape Modeling and Geometry Processing
252-0538-00L, Spring 2018 Shape Modeling and Geometry Processing Discrete Differential Geometry Differential Geometry Motivation Formalize geometric properties of shapes Roi Poranne # 2 Differential Geometry
More informationDISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU /858B Fall 2017
DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU 15-458/858B Fall 2017 LECTURE 10: DISCRETE CURVATURE DISCRETE DIFFERENTIAL GEOMETRY: AN APPLIED INTRODUCTION Keenan Crane CMU 15-458/858B
More informationGreedy Routing in Wireless Networks. Jie Gao Stony Brook University
Greedy Routing in Wireless Networks Jie Gao Stony Brook University A generic sensor node CPU. On-board flash memory or external memory Sensors: thermometer, camera, motion, light sensor, etc. Wireless
More informationGeometry of Flat Surfaces
Geometry of Flat Surfaces Marcelo iana IMPA - Rio de Janeiro Xi an Jiaotong University 2005 Geometry of Flat Surfaces p.1/43 Some (non-flat) surfaces Sphere (g = 0) Torus (g = 1) Bitorus (g = 2) Geometry
More informationFrom isothermic triangulated surfaces to discrete holomorphicity
From isothermic triangulated surfaces to discrete holomorphicity Wai Yeung Lam TU Berlin Oberwolfach, 2 March 2015 Joint work with Ulrich Pinkall Wai Yeung Lam (TU Berlin) isothermic triangulated surfaces
More informationDiscrete Differential Geometry: An Applied Introduction
Discrete Differential Geometry: An Applied Introduction Eitan Grinspun with Mathieu Desbrun, Konrad Polthier, Peter Schröder, & Ari Stern 1 Differential Geometry Why do we care? geometry of surfaces Springborn
More informationGreedy Routing with Guaranteed Delivery Using Ricci Flow
Greedy Routing with Guaranteed Delivery Using Ricci Flow Jie Gao Stony Brook University Joint work with Rik Sarkar, Xiaotian Yin, Wei Zeng, Feng Luo, Xianfeng David Gu Greedy Routing Assign coordinatesto
More informationInterpolating and approximating scattered 3D-data with hierarchical tensor product B-splines
Interpolating and approximating scattered 3D-data with hierarchical tensor product B-splines Günther Greiner Kai Hormann Abstract In this note we describe surface reconstruction algorithms based on optimization
More informationLectures in Discrete Differential Geometry 3 Discrete Surfaces
Lectures in Discrete Differential Geometry 3 Discrete Surfaces Etienne Vouga March 19, 2014 1 Triangle Meshes We will now study discrete surfaces and build up a parallel theory of curvature that mimics
More information05 - Surfaces. Acknowledgements: Olga Sorkine-Hornung. CSCI-GA Geometric Modeling - Daniele Panozzo
05 - Surfaces Acknowledgements: Olga Sorkine-Hornung Reminder Curves Turning Number Theorem Continuous world Discrete world k: Curvature is scale dependent is scale-independent Discrete Curvature Integrated
More informationAn Interface-fitted Mesh Generator and Polytopal Element Methods for Elliptic Interface Problems
An Interface-fitted Mesh Generator and Polytopal Element Methods for Elliptic Interface Problems Long Chen University of California, Irvine chenlong@math.uci.edu Joint work with: Huayi Wei (Xiangtan University),
More informationDiscrete differential geometry: Surfaces made from Circles
Discrete differential geometry: Alexander Bobenko (TU Berlin) with help of Tim Hoffmann, Boris Springborn, Ulrich Pinkall, Ulrike Scheerer, Daniel Matthes, Yuri Suris, Kevin Bauer Papers A.I. Bobenko,
More informationParameterization II Some slides from the Mesh Parameterization Course from Siggraph Asia
Parameterization II Some slides from the Mesh Parameterization Course from Siggraph Asia 2008 1 Non-Convex Non Convex Boundary Convex boundary creates significant distortion Free boundary is better 2 Fixed
More informationCS Object Representation. Aditi Majumder, CS 112 Slide 1
CS 112 - Object Representation Aditi Majumder, CS 112 Slide 1 What is Graphics? Modeling Computer representation of the 3D world Analysis For efficient rendering For catering the model to different applications..
More informationShape Modeling. Differential Geometry Primer Smooth Definitions Discrete Theory in a Nutshell. CS 523: Computer Graphics, Spring 2011
CS 523: Computer Graphics, Spring 2011 Shape Modeling Differential Geometry Primer Smooth Definitions Discrete Theory in a Nutshell 2/15/2011 1 Motivation Geometry processing: understand geometric characteristics,
More informationCS 468 (Spring 2013) Discrete Differential Geometry
Lecturer: Adrian Butscher, Justin Solomon Scribe: Adrian Buganza-Tepole CS 468 (Spring 2013) Discrete Differential Geometry Lecture 19: Conformal Geometry Conformal maps In previous lectures we have explored
More informationDiscrete Differential Geometry. Differential Geometry
Discrete Differential Geometry Yiying Tong CSE 891 Sect 004 Differential Geometry Why do we care? theory: special surfaces minimal, CMC, integrable, etc. computation: simulation/processing Grape (u. of
More informationLecture 2 Unstructured Mesh Generation
Lecture 2 Unstructured Mesh Generation MIT 16.930 Advanced Topics in Numerical Methods for Partial Differential Equations Per-Olof Persson (persson@mit.edu) February 13, 2006 1 Mesh Generation Given a
More informationSOLVING PARTIAL DIFFERENTIAL EQUATIONS ON POINT CLOUDS
SOLVING PARTIAL DIFFERENTIAL EQUATIONS ON POINT CLOUDS JIAN LIANG AND HONGKAI ZHAO Abstract. In this paper we present a general framework for solving partial differential equations on manifolds represented
More informationCalculus on the complex plane C
Calculus on the complex plane C Let z = x + iy be the complex variable on the complex plane C == R ir where i = 1. Definition A function f : C C is holomorphic if it is complex differentiable, i.e., for
More informationGAUSS-BONNET FOR DISCRETE SURFACES
GAUSS-BONNET FOR DISCRETE SURFACES SOHINI UPADHYAY Abstract. Gauss-Bonnet is a deep result in differential geometry that illustrates a fundamental relationship between the curvature of a surface and its
More information274 Curves on Surfaces, Lecture 5
274 Curves on Surfaces, Lecture 5 Dylan Thurston Notes by Qiaochu Yuan Fall 2012 5 Ideal polygons Previously we discussed three models of the hyperbolic plane: the Poincaré disk, the upper half-plane,
More informationCS 177 Homework 1. Julian Panetta. October 22, We want to show for any polygonal disk consisting of vertex set V, edge set E, and face set F:
CS 177 Homework 1 Julian Panetta October, 009 1 Euler Characteristic 1.1 Polyhedral Formula We want to show for any polygonal disk consisting of vertex set V, edge set E, and face set F: V E + F = 1 First,
More informationManifold T-spline. Ying He 1 Kexiang Wang 2 Hongyu Wang 2 Xianfeng David Gu 2 Hong Qin 2. Geometric Modeling and Processing 2006
Ying He 1 Kexiang Wang 2 Hongyu Wang 2 Xianfeng David Gu 2 Hong Qin 2 1 School of Computer Engineering Nanyang Technological University, Singapore 2 Center for Visual Computing (CVC) Stony Brook University,
More informationCOMPUTER AIDED GEOMETRIC DESIGN. Thomas W. Sederberg
COMPUTER AIDED GEOMETRIC DESIGN Thomas W. Sederberg January 31, 2011 ii T. W. Sederberg iii Preface This semester is the 24 th time I have taught a course at Brigham Young University titled, Computer Aided
More informationEuler s Theorem. Brett Chenoweth. February 26, 2013
Euler s Theorem Brett Chenoweth February 26, 2013 1 Introduction This summer I have spent six weeks of my holidays working on a research project funded by the AMSI. The title of my project was Euler s
More information04 - Normal Estimation, Curves
04 - Normal Estimation, Curves Acknowledgements: Olga Sorkine-Hornung Normal Estimation Implicit Surface Reconstruction Implicit function from point clouds Need consistently oriented normals < 0 0 > 0
More information1.7.1 Laplacian Smoothing
1.7.1 Laplacian Smoothing 320491: Advanced Graphics - Chapter 1 434 Theory Minimize energy functional total curvature estimate by polynomial-fitting non-linear (very slow!) 320491: Advanced Graphics -
More informationSurfaces for CAGD. FSP Tutorial. FSP-Seminar, Graz, November
Surfaces for CAGD FSP Tutorial FSP-Seminar, Graz, November 2005 1 Tensor Product Surfaces Given: two curve schemes (Bézier curves or B splines): I: x(u) = m i=0 F i(u)b i, u [a, b], II: x(v) = n j=0 G
More information4.2 Simplicial Homology Groups
4.2. SIMPLICIAL HOMOLOGY GROUPS 93 4.2 Simplicial Homology Groups 4.2.1 Simplicial Complexes Let p 0, p 1,... p k be k + 1 points in R n, with k n. We identify points in R n with the vectors that point
More informationOptimal (local) Triangulation of Hyperbolic Paraboloids
Optimal (local) Triangulation of Hyperbolic Paraboloids Dror Atariah Günter Rote Freie Universität Berlin December 14 th 2012 Outline Introduction Taylor Expansion Quadratic Surfaces Vertical Distance
More information(Discrete) Differential Geometry
(Discrete) Differential Geometry Motivation Understand the structure of the surface Properties: smoothness, curviness, important directions How to modify the surface to change these properties What properties
More informationSubdivision Depth Computation for Extra-Ordinary Catmull-Clark Subdivision Surface Patches
Subdivision Depth Computation for Extra-Ordinary Catmull-Clark Subdivision Surface Patches Fuhua Frank Cheng,GangChen, and Jun-Hai Yong University of Kentucky, Lexington, KY, USA Tsinghua University, Beijing,
More informationWhat is Geometry Processing? Understanding the math of 3D shape and applying that math to discrete shape
Geometry Processing What is Geometry Processing? Understanding the math of 3D shape and applying that math to discrete shape What is Geometry Processing? Understanding the math of 3D shape and applying
More informationParameterization with Manifolds
Parameterization with Manifolds Manifold What they are Why they re difficult to use When a mesh isn t good enough Problem areas besides surface models A simple manifold Sphere, torus, plane, etc. Using
More informationTwo Connections between Combinatorial and Differential Geometry
Two Connections between Combinatorial and Differential Geometry John M. Sullivan Institut für Mathematik, Technische Universität Berlin Berlin Mathematical School DFG Research Group Polyhedral Surfaces
More informationMesh-Based Inverse Kinematics
CS468, Wed Nov 9 th 2005 Mesh-Based Inverse Kinematics R. W. Sumner, M. Zwicker, C. Gotsman, J. Popović SIGGRAPH 2005 The problem 1 General approach Learn from experience... 2 As-rigid-as-possible shape
More informationLevel Set Method in a Finite Element Setting
Level Set Method in a Finite Element Setting John Shopple University of California, San Diego November 6, 2007 Outline 1 Level Set Method 2 Solute-Solvent Model 3 Reinitialization 4 Conclusion Types of
More informationA C 2 Four-Point Subdivision Scheme with Fourth Order Accuracy and its Extensions
A C 2 Four-Point Subdivision Scheme with Fourth Order Accuracy and its Extensions Nira Dyn School of Mathematical Sciences Tel Aviv University Michael S. Floater Department of Informatics University of
More informationGeometric structures on 2-orbifolds
Geometric structures on 2-orbifolds Section 1: Manifolds and differentiable structures S. Choi Department of Mathematical Science KAIST, Daejeon, South Korea 2010 Fall, Lectures at KAIST S. Choi (KAIST)
More informationGeometric modeling 1
Geometric Modeling 1 Look around the room. To make a 3D model of a room requires modeling every single object you can see. Leaving out smaller objects (clutter) makes the room seem sterile and unrealistic
More informationInvariant Measures of Convex Sets. Eitan Grinspun, Columbia University Peter Schröder, Caltech
Invariant Measures of Convex Sets Eitan Grinspun, Columbia University Peter Schröder, Caltech What will we measure? Subject to be measured, S an object living in n-dim space convex, compact subset of R
More informationMA 323 Geometric Modelling Course Notes: Day 36 Subdivision Surfaces
MA 323 Geometric Modelling Course Notes: Day 36 Subdivision Surfaces David L. Finn Today, we continue our discussion of subdivision surfaces, by first looking in more detail at the midpoint method and
More informationCLASSIFICATION OF SURFACES
CLASSIFICATION OF SURFACES JUSTIN HUANG Abstract. We will classify compact, connected surfaces into three classes: the sphere, the connected sum of tori, and the connected sum of projective planes. Contents
More informationWeak Tangents of Metric Spheres
Weak Tangents of Metric Spheres Angela Wu University of California, Los Angeles New Developments in Complex Analysis and Function Theory, 2nd July, 2018 Angela Wu Weak Tangents of Metric Spheres Weak Tangent:
More informationTwo Counterexamples of Global Differential Geometry for Polyhedra
Two Counterexamples of Global Differential Geometry for Polyhedra Abdênago Barros, Esdras Medeiros and Romildo Silva Departatamento de Matemática Universidade Federal do Ceará 60450-520 Fortaleza-Ceará,
More informationDifferential Geometry: Circle Patterns (Part 1) [Discrete Conformal Mappinngs via Circle Patterns. Kharevych, Springborn and Schröder]
Differential Geometry: Circle Patterns (Part 1) [Discrete Conformal Mappinngs via Circle Patterns. Kharevych, Springborn and Schröder] Preliminaries Recall: Given a smooth function f:r R, the function
More informationSubdivision overview
Subdivision overview CS4620 Lecture 16 2018 Steve Marschner 1 Introduction: corner cutting Piecewise linear curve too jagged for you? Lop off the corners! results in a curve with twice as many corners
More information[8] that this cannot happen on the projective plane (cf. also [2]) and the results of Robertson, Seymour, and Thomas [5] on linkless embeddings of gra
Apex graphs with embeddings of face-width three Bojan Mohar Department of Mathematics University of Ljubljana Jadranska 19, 61111 Ljubljana Slovenia bojan.mohar@uni-lj.si Abstract Aa apex graph is a graph
More informationCurvature, Finite Topology, and Foliations
Characterizations of Complete Embedded Minimal Surfaces: Finite Curvature, Finite Topology, and Foliations Michael Nagle March 15, 2005 In classifying minimal surfaces, we start by requiring them to be
More informationweighted minimal surface model for surface reconstruction from scattered points, curves, and/or pieces of surfaces.
weighted minimal surface model for surface reconstruction from scattered points, curves, and/or pieces of surfaces. joint work with (S. Osher, R. Fedkiw and M. Kang) Desired properties for surface reconstruction:
More information1 Unstable periodic discrete minimal surfaces
1 Unstable periodic discrete minimal surfaces Konrad Polthier Technische Universität Berlin, Institut für Mathematik polthier@math.tu-berlin.de Summary. In this paper we define the new alignment energy
More informationCONFORMAL MAPPING POTENTIAL FLOW AROUND A WINGSECTION USED AS A TEST CASE FOR THE INVISCID PART OF RANS SOLVERS
European Conference on Computational Fluid Dynamics ECCOMAS CFD 2006 P. Wesseling, E. Oñate and J. Périaux (Eds) c TU Delft, The Netherlands, 2006 CONFORMAL MAPPING POTENTIAL FLOW AROUND A WINGSECTION
More informationEmil Saucan EE Department, Technion
Curvature Estimation over Smooth Polygonal Meshes Using The Half Tube Formula Emil Saucan EE Department, Technion Joint work with Gershon Elber and Ronen Lev. Mathematics of Surfaces XII Sheffield September
More informationManifold Splines with Single Extraordinary Point
Manifold Splines with Single Extraordinary Point Xianfeng Gu Stony Brook Ying He NTU Miao Jin Stony Brook Feng Luo Rutgers Hong Qin Stony Brook Shing-Tung Yau Harvard Abstract This paper develops a novel
More informationA Conformal Energy for Simplicial Surfaces
Combinatorial and Computational Geometry MSRI Publications Volume 52, 2005 A Conformal Energy for Simplicial Surfaces ALEXANDER I. BOBENKO Abstract. A new functional for simplicial surfaces is suggested.
More informationTopological Data Analysis - I. Afra Zomorodian Department of Computer Science Dartmouth College
Topological Data Analysis - I Afra Zomorodian Department of Computer Science Dartmouth College September 3, 2007 1 Acquisition Vision: Images (2D) GIS: Terrains (3D) Graphics: Surfaces (3D) Medicine: MRI
More informationSubdivision Surfaces
Subdivision Surfaces 1 Geometric Modeling Sometimes need more than polygon meshes Smooth surfaces Traditional geometric modeling used NURBS Non uniform rational B-Spline Demo 2 Problems with NURBS A single
More information4. Definition: topological space, open set, topology, trivial topology, discrete topology.
Topology Summary Note to the reader. If a statement is marked with [Not proved in the lecture], then the statement was stated but not proved in the lecture. Of course, you don t need to know the proof.
More informationTHE HALF-EDGE DATA STRUCTURE MODELING AND ANIMATION
THE HALF-EDGE DATA STRUCTURE MODELING AND ANIMATION Dan Englesson danen344@student.liu.se Sunday 12th April, 2011 Abstract In this lab assignment which was done in the course TNM079, Modeling and animation,
More informationSimulation Details for 2D
Appendix B Simulation Details for 2D In this appendix we add some details two-dimensional simulation method. The details provided here describe the method used to obtain results reported in Chapters 3
More informationAn Intuitive Framework for Real-Time Freeform Modeling
An Intuitive Framework for Real-Time Freeform Modeling Leif Kobbelt Shape Deformation Complex shapes Complex deformations User Interaction Very limited user interface 2D screen & mouse Intuitive metaphor
More informationMultidimensional scaling
Multidimensional scaling Lecture 5 Alexander & Michael Bronstein tosca.cs.technion.ac.il/book Numerical geometry of non-rigid shapes Stanford University, Winter 2009 Cinderella 2.0 2 If it doesn t fit,
More informationLevel Set Methods and Fast Marching Methods
Level Set Methods and Fast Marching Methods I.Lyulina Scientific Computing Group May, 2002 Overview Existing Techniques for Tracking Interfaces Basic Ideas of Level Set Method and Fast Marching Method
More informationSmoothing & Fairing. Mario Botsch
Smoothing & Fairing Mario Botsch Motivation Filter out high frequency noise Desbrun, Meyer, Schroeder, Barr: Implicit Fairing of Irregular Meshes using Diffusion and Curvature Flow, SIGGRAPH 99 2 Motivation
More informationGEOMETRY OF SURFACES. b3 course Nigel Hitchin
GEOMETRY OF SURFACES b3 course 2004 Nigel Hitchin hitchin@maths.ox.ac.uk 1 1 Introduction This is a course on surfaces. Your mental image of a surface should be something like this: or this However we
More informationMA651 Topology. Lecture 4. Topological spaces 2
MA651 Topology. Lecture 4. Topological spaces 2 This text is based on the following books: Linear Algebra and Analysis by Marc Zamansky Topology by James Dugundgji Fundamental concepts of topology by Peter
More informationRigid folding analysis of offset crease thick folding
Proceedings of the IASS Annual Symposium 016 Spatial Structures in the 1st Century 6-30 September, 016, Tokyo, Japan K. Kawaguchi, M. Ohsaki, T. Takeuchi eds.) Rigid folding analysis of offset crease thick
More informationMultiresolution Computation of Conformal Structures of Surfaces
Multiresolution Computation of Conformal Structures of Surfaces Xianfeng Gu Yalin Wang Shing-Tung Yau Division of Engineering and Applied Science, Harvard University, Cambridge, MA 0138 Mathematics Department,
More informationNear-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfaces
Near-Optimum Adaptive Tessellation of General Catmull-Clark Subdivision Surfaces Shuhua Lai and Fuhua (Frank) Cheng (University of Kentucky) Graphics & Geometric Modeling Lab, Department of Computer Science,
More informationStructured Light II. Thanks to Ronen Gvili, Szymon Rusinkiewicz and Maks Ovsjanikov
Structured Light II Johannes Köhler Johannes.koehler@dfki.de Thanks to Ronen Gvili, Szymon Rusinkiewicz and Maks Ovsjanikov Introduction Previous lecture: Structured Light I Active Scanning Camera/emitter
More informationSurfaces: notes on Geometry & Topology
Surfaces: notes on Geometry & Topology 1 Surfaces A 2-dimensional region of 3D space A portion of space having length and breadth but no thickness 2 Defining Surfaces Analytically... Parametric surfaces
More informationContents. I The Basic Framework for Stationary Problems 1
page v Preface xiii I The Basic Framework for Stationary Problems 1 1 Some model PDEs 3 1.1 Laplace s equation; elliptic BVPs... 3 1.1.1 Physical experiments modeled by Laplace s equation... 5 1.2 Other
More informationCannon s conjecture, subdivision rules, and expansion complexes
Cannon s conjecture, subdivision rules, and expansion complexes W. Floyd (joint work with J. Cannon and W. Parry) Department of Mathematics Virginia Tech UNC Greensboro: November, 2014 Motivation from
More informationAMS527: Numerical Analysis II
AMS527: Numerical Analysis II A Brief Overview of Finite Element Methods Xiangmin Jiao SUNY Stony Brook Xiangmin Jiao SUNY Stony Brook AMS527: Numerical Analysis II 1 / 25 Overview Basic concepts Mathematical
More informationUnstructured Mesh Generation for Implicit Moving Geometries and Level Set Applications
Unstructured Mesh Generation for Implicit Moving Geometries and Level Set Applications Per-Olof Persson (persson@mit.edu) Department of Mathematics Massachusetts Institute of Technology http://www.mit.edu/
More informationDiscrete Surface Ricci Flow
TO APPEAR IN IEEE TVCG 1 Discrete Surface Ricci Flow Miao Jin 1, Junho Kim 1,3,FengLuo 2, and Xianfeng Gu 1 1 Stony Brook University 2 Rutgers University 3 Dong-Eui University Abstract This work introduces
More informationAn interpolating 4-point C 2 ternary stationary subdivision scheme
Computer Aided Geometric Design 9 (2002) 8 www.elsevier.com/locate/comaid An interpolating 4-point C 2 ternary stationary subdivision scheme M.F Hassan a,, I.P. Ivrissimitzis a, N.A. Dodgson a,m.a.sabin
More informationCentral issues in modelling
Central issues in modelling Construct families of curves, surfaces and volumes that can represent common objects usefully; are easy to interact with; interaction includes: manual modelling; fitting to
More informationGeometry Processing TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAA
Geometry Processing What is Geometry Processing? Understanding the math of 3D shape What is Geometry Processing? Understanding the math of 3D shape and applying that math to discrete shape What is Geometry
More informationGeneralizing the C 4 Four-directional Box Spline to Surfaces of Arbitrary Topology Luiz Velho Abstract. In this paper we introduce a new scheme that g
Generalizing the C 4 Four-directional Box Spline to Surfaces of Arbitrary Topology Luiz Velho Abstract. In this paper we introduce a new scheme that generalizes the four-directional box spline of class
More informationManifold Splines with Single Extraordinary Point
Manifold Splines with Single Extraordinary Point Xianfeng Gu a,ying He b,,miaojin a,fengluo c, Hong Qin a, Shing-Tung Yau d a Computer Science Department, Stony Brook University, NY, USA. b School of Computer
More information3D Computer Vision. Structured Light II. Prof. Didier Stricker. Kaiserlautern University.
3D Computer Vision Structured Light II Prof. Didier Stricker Kaiserlautern University http://ags.cs.uni-kl.de/ DFKI Deutsches Forschungszentrum für Künstliche Intelligenz http://av.dfki.de 1 Introduction
More informationComputing Geodesic Spectra of Surfaces
Computing Geodesic Spectra of Surfaces Miao Jin Stony Brook University Feng Luo Rutgers University Shing-Tung Yau Harvard University Xianfeng Gu Stony Brook University Abstract Surface classification is
More informationControl Volume Finite Difference On Adaptive Meshes
Control Volume Finite Difference On Adaptive Meshes Sanjay Kumar Khattri, Gunnar E. Fladmark, Helge K. Dahle Department of Mathematics, University Bergen, Norway. sanjay@mi.uib.no Summary. In this work
More informationUsing Subspace Constraints to Improve Feature Tracking Presented by Bryan Poling. Based on work by Bryan Poling, Gilad Lerman, and Arthur Szlam
Presented by Based on work by, Gilad Lerman, and Arthur Szlam What is Tracking? Broad Definition Tracking, or Object tracking, is a general term for following some thing through multiple frames of a video
More informationImplementation of Circle Pattern Parameterization
Implementation of Circle Pattern Parameterization Thesis by Liliya Kharevych In Partial Fulfillment of the Requirements for the Degree of Master of Science California Institute of Technology Pasadena,
More informationTernary Butterfly Subdivision
Ternary Butterfly Subdivision Ruotian Ling a,b Xiaonan Luo b Zhongxian Chen b,c a Department of Computer Science, The University of Hong Kong b Computer Application Institute, Sun Yat-sen University c
More informationRefinable bivariate quartic and quintic C 2 -splines for quadrilateral subdivisions
Refinable bivariate quartic and quintic C 2 -splines for quadrilateral subdivisions Charles K. Chui, Qingtang Jiang Department of Mathematics and Computer Science University of Missouri St. Louis St. Louis,
More informationMutation-linear algebra and universal geometric cluster algebras
Mutation-linear algebra and universal geometric cluster algebras Nathan Reading NC State University Mutation-linear ( µ-linear ) algebra Universal geometric cluster algebras The mutation fan Universal
More informationConformal Flattening ITK Filter
=1 Conformal Flattening ITK Filter Release 0.00 Yi Gao 1, John Melonakos 1, and Allen Tannenbaum 1 July 10, 2006 1 Georgia Institute of Technology, Atlanta, GA Abstract This paper describes the Insight
More informationGeometric Fairing of Irregular Meshes for Free-Form Surface Design
Geometric Fairing of Irregular Meshes for Free-Form Surface Design Robert Schneider, Leif Kobbelt 1 Max-Planck Institute for Computer Sciences, Stuhlsatzenhausweg 8, D-66123 Saarbrücken, Germany Abstract
More informationJoe Warren, Scott Schaefer Rice University
Joe Warren, Scott Schaefer Rice University Polygons are a ubiquitous modeling primitive in computer graphics. Their popularity is such that special purpose graphics hardware designed to render polygons
More information