Why morphometrics? Measuring biological variation

Size: px
Start display at page:

Download "Why morphometrics? Measuring biological variation"

Transcription

1 Geometric morphometrics as a useful tool for visualising and analysing deformities in fish D. Adriaens1, Y. Verhaegen1, T. De Wolf2, P. Dhert3 & P. Sorgeloos Evolutionary Morphology of Vertebrates (UGent, Belgium) Maricoltura Rosignano Solvay (Italy) INVE Technologies (Dendermonde, Belgium) Artemia Reference Centre (UGent, Belgium) dominique.adriaens@ugent.be

2 Workshop "Deformities in Fish Larvae" 2/22 Why morphometrics? Measuring biological variation growth - development interspecific variation species-specific specific features intraspecific variation phenotypic plasticity deformations

3 Traditional morphometrics Length measurements advantages easy to measure easy to analyse PCA, DFA,... a b disadvantages size variables, not shape variables unsufficient model of shape a b March a=a b=b shapes are equal Workshop "Deformities in Fish Larvae" 3/22

4 Traditional morphometrics Length ratios advantages standardised, size removal a b e disadvantages reduces variation size removal incomplete always dependent of size size removal erroneous c d a b e a a = standard length b=b b/a b /a c=c c/a c /a d=d d/a d /a e=e e/a e /a March d shapes are completely different c Workshop "Deformities in Fish Larvae" 4/22

5 Solution to the problems? Geometric Morphometrics

6 Workshop "Deformities in Fish Larvae" 6/22 Data types Outlines advantages very good model of true shape especially rounded shapes mathematical model shape parameters statistics allowed PCA, DFA,... disadvantages not good for certain shapes shape changes within the outline model shapes with pointed outlines no link to actual shape variation in specimens

7 Workshop "Deformities in Fish Larvae" 7/22 Data types Landmarks advantages good model of true shape homologous points also shapes within shapes mathematical model shape parameters statistics allowed PCA, DFA,... deformation grids visualisation of shape differences disadvantages not good for certain shapes rounded shapes

8 Landmark-based morphometrics Thin Plate Splines data Cartesian coordinates 2D, 3D Y Y X March Workshop "Deformities in Fish Larvae" 8/22 X

9 Landmark-based morphometrics Thin Plate Splines data Cartesian coordinates 2D, 3D standardisation Generalised Procrustes Analysis size rotation position only true shape remains Y Y X March Workshop "Deformities in Fish Larvae" 9/22 X

10 Workshop "Deformities in Fish Larvae" 10/22 Thin Plate Splines Shape variation decomposition reference shape consensus new shape variables partial warps uniform shape variation compression shear non-uniform shape variation overall deformation localised deformation partial warp scores weight matrix

11 Workshop "Deformities in Fish Larvae" 11/22 Thin Plate Splines Shape variation analysis Relative warp analysis PCA on partial warp scores visualisation of shape variation min. RW1 max. RW1 min. RW1 RW2 RW1 max. RW1 DFA on partial warp scores between-group shape differences

12 Geometric morphometrics Application for studying deformations in Sparus aurata

13 Workshop "Deformities in Fish Larvae" 13/22 Data acquisition Digital images specimens n=40 Landmark digitisation number of landmarks 26 (type 1 & 2) GPA consensus specimens

14 Workshop "Deformities in Fish Larvae" 14/22 Data analysis Partial warp decomposition uniform variation no clustering Deoperculated Normal non-uniform variation partial warp 9 normal and deoperculated cluster normal less variation partial warp 12 normal and deoperculated cluster normal less variation

15 Workshop "Deformities in Fish Larvae" 15/22 Data analysis Normal Relative warp analysis RW1 (60.25%) Deoperculated

16 Workshop "Deformities in Fish Larvae" 16/22 Data analysis Normal Relative warp analysis RW2 (9.37%) Deoperculated

17 Workshop "Deformities in Fish Larvae" 17/22 Data analysis Relative warp analysis RW3 (7.38%) Normal RW4 (4.67%) Deoperculated

18 Workshop "Deformities in Fish Larvae" 18/22 Trends in shape changes Normal to deoperculated shape changes Normal Deoperculated Normal Deoperc. not size related distrupt variation developmental treshold? early onset of deformation?

19 Workshop "Deformities in Fish Larvae" 19/22 Trends in shape changes Normal shape changes min Normal Deoperculated max. not size related gradual variation phenotypic plasticity? deformities?

20 Trends in shape changes Deoperculated shape changes min Normal Deoperculated max. not size related gradual variation March phenotypic plasticity? variation larger than normal different than normal phenotypic plasticity Workshop "Deformities in Fish Larvae" 20/22

21 Workshop "Deformities in Fish Larvae" 21/22 Left-right asymmetry Specimen C1-8 right - #30 normal left - #9 strongly deoperculated right left

22 Workshop "Deformities in Fish Larvae" 22/22 Conclusions Use of geometric morphometrics more solid shape descriptors more correct standardisation (GPA) statistical analyses applicable visualisation of shape variation Deformations in Sparus aurata geometric morphometrics very useful shape-gap between normal and deoperculated within-group variation not size related extreme left-right asymmetry

Does BRT return a predicted group membership or value for continuous variable? Yes, in the $fit object In this dataset, R 2 =0.346.

Does BRT return a predicted group membership or value for continuous variable? Yes, in the $fit object In this dataset, R 2 =0.346. Does BRT return a predicted group membership or value for continuous variable? Yes, in the $fit object In this dataset, R 2 =0.346 Is BRT the same as random forest? Very similar, randomforest package in

More information

Multivariate statistics and geometric morphometrics

Multivariate statistics and geometric morphometrics Multivariate statistics and geometric morphometrics Eigenanalysis i used in several ways in geometric morphometrics: Calculation of partial warps. Use of partial warp scores in PCA, DFA, and CCA. Direct

More information

Image Analysis and Morphometry

Image Analysis and Morphometry Image Analysis and Morphometry Lukas Schärer Evolutionary Biology Zoological Institute University of Basel 1 13. /15.3.2013 Zoology & Evolution Block Course Summary Quantifying morphology why do we need

More information

Lab 13: Intro to Geometric Morphometrics

Lab 13: Intro to Geometric Morphometrics Integrative Biology 200A University of California, Berkeley "Principles of Phylogenetics: Systematics" Spring 2010 Updated by Nick Matzke Lab 13: Intro to Geometric Morphometrics Setup All of the software

More information

Deformations. Recall: important tmodel dlof shape change is the deformation of one form into another.

Deformations. Recall: important tmodel dlof shape change is the deformation of one form into another. Deformations Recall: important tmodel dlof shape change is the deformation of one form into another. Dates back to D Arcy Thompson s (1917) transformation grids. Deformation maps a set of morphological

More information

Statistical Shape Analysis

Statistical Shape Analysis Statistical Shape Analysis I. L. Dryden and K. V. Mardia University ofleeds, UK JOHN WILEY& SONS Chichester New York Weinheim Brisbane Singapore Toronto Contents Preface Acknowledgements xv xix 1 Introduction

More information

CSE 554 Lecture 7: Deformation II

CSE 554 Lecture 7: Deformation II CSE 554 Lecture 7: Deformation II Fall 2011 CSE554 Deformation II Slide 1 Review Rigid-body alignment Non-rigid deformation Intrinsic methods: deforming the boundary points An optimization problem Minimize

More information

Geometric Morphometrics

Geometric Morphometrics Geometric Morphometrics First analysis J A K L E DBC F I G H Mathematica map of Marmot localities from Assignment 1 Tips for data manipulation in Mathematica Flatten[ ] - Takes a nested list and flattens

More information

Shape spaces. Shape usually defined explicitly to be residual: independent of size.

Shape spaces. Shape usually defined explicitly to be residual: independent of size. Shape spaces Before define a shape space, must define shape. Numerous definitions of shape in relation to size. Many definitions of size (which we will explicitly define later). Shape usually defined explicitly

More information

If you are not familiar with IMP you should download and read WhatIsImp and CoordGenManual before proceeding.

If you are not familiar with IMP you should download and read WhatIsImp and CoordGenManual before proceeding. IMP: PCAGen6- Principal Components Generation Utility PCAGen6 This software package is a Principal Components Analysis utility intended for use with landmark based morphometric data. The program loads

More information

G562 Geometric Morphometrics. Alex Z s. Guillaume s Sarah s. Department of Geological Sciences Indiana University. (c) 2016, P.

G562 Geometric Morphometrics. Alex Z s. Guillaume s Sarah s. Department of Geological Sciences Indiana University. (c) 2016, P. Guillaume s Alex Z s - - - - - - - - - Sarah s - - - - - - (c) 2016, P. David Polly (c) 2016, P. David Polly Tips for data manipulation in Mathematica Flatten[ ] - Takes a nested list and flattens it into

More information

Morphometric Analysis of Biomedical Images. Sara Rolfe 10/9/17

Morphometric Analysis of Biomedical Images. Sara Rolfe 10/9/17 Morphometric Analysis of Biomedical Images Sara Rolfe 10/9/17 Morphometric Analysis of Biomedical Images Object surface contours Image difference features Compact representation of feature differences

More information

Digital Image Processing Fundamentals

Digital Image Processing Fundamentals Ioannis Pitas Digital Image Processing Fundamentals Chapter 7 Shape Description Answers to the Chapter Questions Thessaloniki 1998 Chapter 7: Shape description 7.1 Introduction 1. Why is invariance to

More information

Sage: Symmetry and Asymmetry in Geometric Data Version 1.21 (compiled 03/1114)

Sage: Symmetry and Asymmetry in Geometric Data Version 1.21 (compiled 03/1114) Sage: Symmetry and Asymmetry in Geometric Data Version 1.21 (compiled 03/1114) Eladio Marquez 2012-2014 Mammals Division University of Michigan Museum of Zoology http://www-personal.umich.edu/~emarquez/morph/

More information

H. David Sheets, Dept. of Physics, Canisius College, Buffalo, NY 14208, Dept. of Geology, SUNY at Buffalo, Buffalo NY 14260

H. David Sheets, Dept. of Physics, Canisius College, Buffalo, NY 14208, Dept. of Geology, SUNY at Buffalo, Buffalo NY 14260 What is IMP? IMP is a set of compiled software tools with graphic user interfaces that carry out a wide variety of tasks related to the display and analysis of 2-D landmark-based geometric morphometric

More information

Non-rigid Image Registration

Non-rigid Image Registration Overview Non-rigid Image Registration Introduction to image registration - he goal of image registration - Motivation for medical image registration - Classification of image registration - Nonrigid registration

More information

IMP:DisparityBox6. H. David Sheets, Dept. of Physics, Canisius College, Buffalo, NY 14208,

IMP:DisparityBox6. H. David Sheets, Dept. of Physics, Canisius College, Buffalo, NY 14208, IMP:DisparityBox6 H. David Sheets, Dept. of Physics, Canisius College, Buffalo, NY 14208, nual, resampling statistics) Miriam L. Zelditch, Museum of Paleontology, University of Michigan, Ann Arbor, Michigan

More information

Medium Term Plan Year 4

Medium Term Plan Year 4 Wk Unit Strands Objectives 1 Block B2.c: Classify and sketch 2D shapes according to the concept of symmetry Rehearse the concept of line symmetry Classify polygons according to their lines of symmetry

More information

Guide to geometric morphometrics

Guide to geometric morphometrics Guide to geometric morphometrics Heidi Schutz, University of Colorado Jonathan Krieger, the Natural History Museum, London Version 0.4, 30 May, 2007. Copyright 2007 Relative warp analysis Programs The

More information

Specification and Computation of Warping and Morphing Transformations. Bruno Costa da Silva Microsoft Corp.

Specification and Computation of Warping and Morphing Transformations. Bruno Costa da Silva Microsoft Corp. Specification and Computation of Warping and Morphing Transformations Bruno Costa da Silva Microsoft Corp. Morphing Transformations Representation of Transformations Specification of Transformations Specification

More information

2-Type Fire Retardant Closures

2-Type Fire Retardant Closures 2-Type Fire Retardant Closures 2-Type Closures that can really take the heat. The 2-Type Fire Retardant Closure is completely self-contained and capable of withstanding a 15 minute horizontal or vertical

More information

And. Modal Analysis. Using. VIC-3D-HS, High Speed 3D Digital Image Correlation System. Indian Institute of Technology New Delhi

And. Modal Analysis. Using. VIC-3D-HS, High Speed 3D Digital Image Correlation System. Indian Institute of Technology New Delhi Full Field Displacement And Strain Measurement And Modal Analysis Using VIC-3D-HS, High Speed 3D Digital Image Correlation System At Indian Institute of Technology New Delhi VIC-3D, 3D Digital Image Correlation

More information

Lory 1.0: Model-based Estimation of Local Shape Deformations

Lory 1.0: Model-based Estimation of Local Shape Deformations Lory 1.0: Model-based Estimation of Local Shape Deformations Software compilation: 03/11/2014 Manual revision: 03/11/2014 Eladio Marquez 2012-2014 / The Mathworks, Inc. 1984-2013 emarquez@bio.fsu.edu Dept.

More information

Manuals for the EVAN Toolbox 1 No. 2 V1.8 December An introduction to analysis and visualisation

Manuals for the EVAN Toolbox 1 No. 2 V1.8 December An introduction to analysis and visualisation Manuals for the EVAN Toolbox 1 No. 2 V1.8 December 2012 Gerhard W. Weber and Fred L. Bookstein University of Vienna An introduction to analysis and visualisation 1. Generalised Procrustes Analysis (GPA)

More information

CE Advanced Structural Analysis. Lab 4 SAP2000 Plane Elasticity

CE Advanced Structural Analysis. Lab 4 SAP2000 Plane Elasticity Department of Civil & Geological Engineering COLLEGE OF ENGINEERING CE 463.3 Advanced Structural Analysis Lab 4 SAP2000 Plane Elasticity February 27 th, 2013 T.A: Ouafi Saha Professor: M. Boulfiza 1. Rectangular

More information

Modeling Strategies for Dynamic Finite Element Cask Analyses

Modeling Strategies for Dynamic Finite Element Cask Analyses Session A Package Analysis: Structural Analysis - Modeling Modeling Strategies for Dynamic Finite Element Cask Analyses Uwe Zencker, Günter Wieser, Linan Qiao, Christian Protz BAM Federal Institute for

More information

FACE RECOGNITION USING INDEPENDENT COMPONENT

FACE RECOGNITION USING INDEPENDENT COMPONENT Chapter 5 FACE RECOGNITION USING INDEPENDENT COMPONENT ANALYSIS OF GABORJET (GABORJET-ICA) 5.1 INTRODUCTION PCA is probably the most widely used subspace projection technique for face recognition. A major

More information

Geometric Transformations and Image Warping

Geometric Transformations and Image Warping Geometric Transformations and Image Warping Ross Whitaker SCI Institute, School of Computing University of Utah Univ of Utah, CS6640 2009 1 Geometric Transformations Greyscale transformations -> operate

More information

CIS-331 Spring 2016 Exam 1 Name: Total of 109 Points Version 1

CIS-331 Spring 2016 Exam 1 Name: Total of 109 Points Version 1 Version 1 Instructions Write your name on the exam paper. Write your name and version number on the top of the yellow paper. Answer Question 1 on the exam paper. Answer Questions 2-4 on the yellow paper.

More information

Image Warping of Three-Dimensional Body Scan Data

Image Warping of Three-Dimensional Body Scan Data 03DHM-37 Image Warping of Three-Dimensional Body Scan Data Melinda M. Cerney Virtual Reality Applications Center, Iowa State University Dean C. Adams, PhD Department of Zoology and Genetics, Department

More information

Skinning Mesh Animations

Skinning Mesh Animations Doug L. James, Christopher D. Twigg Carnegie Mellon University presented by Johannes Schmid 1 Outline Introduction & Motivation Overview & Details Results Discussion 2 Introduction Mesh sequence: 3 General

More information

CHAPTER 7 SIMULATIONS OF EXPERIMENTAL WORK PERFORMED ON COMPOSITE SPECIMENS BY USING ANSYS

CHAPTER 7 SIMULATIONS OF EXPERIMENTAL WORK PERFORMED ON COMPOSITE SPECIMENS BY USING ANSYS 275 CHAPTER 7 SIMULATIONS OF EXPERIMENTAL WORK PERFORMED ON COMPOSITE SPECIMENS BY USING ANSYS 7.1 INTRODUCTION 275 7.2 EXPERIMENTAL CONFIGURATIONS 275 7.2.1 Tensile Test 275 7.2.2 Compression Test 278

More information

Lecture 5 2D Transformation

Lecture 5 2D Transformation Lecture 5 2D Transformation What is a transformation? In computer graphics an object can be transformed according to position, orientation and size. Exactly what it says - an operation that transforms

More information

CIS-331 Exam 2 Fall 2015 Total of 105 Points Version 1

CIS-331 Exam 2 Fall 2015 Total of 105 Points Version 1 Version 1 1. (20 Points) Given the class A network address 117.0.0.0 will be divided into multiple subnets. a. (5 Points) How many bits will be necessary to address 4,000 subnets? b. (5 Points) What is

More information

Medium Term Plan Year 6: Autumn Term

Medium Term Plan Year 6: Autumn Term Medium Term Plan Year 6: Autumn Term Block A1.a: Multiply integers and decimals by 10, 100 or 1000 AUTUMN TERM Block A1.b: Divide integers by 10, 100 or 1000, and divide decimals by 10 or 100 Block A1.c:

More information

[Y2] Counting and understanding number. [Y2] Counting and understanding number. [Y2] Counting and understanding number

[Y2] Counting and understanding number. [Y2] Counting and understanding number. [Y2] Counting and understanding number Medium Term Plan : Year 2 Autumn Term Block A1.a: Count on and back in 1s or 10s from a 2- digit number; write figures up to 100 Block A1.b: Begin to count up to 100 objects by grouping in 5s or 10s; estimate

More information

Shape Classification and Cell Movement in 3D Matrix Tutorial (Part I)

Shape Classification and Cell Movement in 3D Matrix Tutorial (Part I) Shape Classification and Cell Movement in 3D Matrix Tutorial (Part I) Fred Park UCI icamp 2011 Outline 1. Motivation and Shape Definition 2. Shape Descriptors 3. Classification 4. Applications: Shape Matching,

More information

A New Shape Matching Measure for Nonlinear Distorted Object Recognition

A New Shape Matching Measure for Nonlinear Distorted Object Recognition A New Shape Matching Measure for Nonlinear Distorted Object Recognition S. Srisuky, M. Tamsriy, R. Fooprateepsiri?, P. Sookavatanay and K. Sunaty Department of Computer Engineeringy, Department of Information

More information

CITY AND GUILDS 9210 UNIT 135 MECHANICS OF SOLIDS Level 6 TUTORIAL 15 - FINITE ELEMENT ANALYSIS - PART 1

CITY AND GUILDS 9210 UNIT 135 MECHANICS OF SOLIDS Level 6 TUTORIAL 15 - FINITE ELEMENT ANALYSIS - PART 1 Outcome 1 The learner can: CITY AND GUILDS 9210 UNIT 135 MECHANICS OF SOLIDS Level 6 TUTORIAL 15 - FINITE ELEMENT ANALYSIS - PART 1 Calculate stresses, strain and deflections in a range of components under

More information

Detection of shape outliers, with an application to complete unilateral cleft lip and palate in humans

Detection of shape outliers, with an application to complete unilateral cleft lip and palate in humans Detection of shape outliers, with an application to complete unilateral cleft lip and palate in humans Stanislav Katina Department of Anthropology, University of Vienna, Austria, and Department of Applied

More information

CHAPTER-10 DYNAMIC SIMULATION USING LS-DYNA

CHAPTER-10 DYNAMIC SIMULATION USING LS-DYNA DYNAMIC SIMULATION USING LS-DYNA CHAPTER-10 10.1 Introduction In the past few decades, the Finite Element Method (FEM) has been developed into a key indispensable technology in the modeling and simulation

More information

Analysing Growth in Faces. J. T. Kent. Leeds, England. R. G. Aykroyd. Leeds, England. 30,000 3D points arranged as a mesh of quadrilaterals.

Analysing Growth in Faces. J. T. Kent. Leeds, England. R. G. Aykroyd. Leeds, England. 30,000 3D points arranged as a mesh of quadrilaterals. Analysing Growth in Faces R. J. Morris M. Fidrich Department of Informatics Jozsef Attila University Hungary J. T. Kent R. G. Aykroyd K. V. Mardia A. Linney Medical Physics Group University College London

More information

APPLICATIONS OF CFD AND PCA METHODS FOR GEOMETRY RECONSTRUCTION OF 3D OBJECTS

APPLICATIONS OF CFD AND PCA METHODS FOR GEOMETRY RECONSTRUCTION OF 3D OBJECTS Mathematical Modelling and Analysis 2005. Pages 123 128 Proceedings of the 10 th International Conference MMA2005&CMAM2, Trakai c 2005 Technika ISBN 9986-05-924-0 APPLICATIONS OF CFD AND PCA METHODS FOR

More information

CIS-331 Final Exam Spring 2018 Total of 120 Points. Version 1

CIS-331 Final Exam Spring 2018 Total of 120 Points. Version 1 Version 1 Instructions 1. Write your name and version number on the top of the yellow paper and the routing tables sheet. 2. Answer Question 2 on the routing tables sheet. 3. Answer Questions 1, 3, 4,

More information

The thin-plate spline: visualizing shape change as a deformation

The thin-plate spline: visualizing shape change as a deformation 6 The thin-plate spline: visualizing shape change as a deformation Shape coordinates of all kinds are fundamentally limited when it comes to depicting transformations in shape - they cannot tell us what

More information

Bones, Teeth and Animation. Ingrid Daubechies

Bones, Teeth and Animation. Ingrid Daubechies Bones, Teeth and Animation Ingrid Daubechies May 10, 2016 Green Family Lecture, IPAM, UCLA surfaces and Morphology Collaborators Rima Alaifari Doug Boyer Ingrid Daubechies Tingran Gao ETH Zürich Duke Duke

More information

An Automatic Face Identification System Using Flexible Appearance Models

An Automatic Face Identification System Using Flexible Appearance Models An Automatic Face Identification System Using Flexible Appearance Models A. Lanitis, C.J.Taylor and T.F.Cootes Dpt. of Medical Biophysics, University of Manchester email: lan@wiau.mb.man.ac.uk We describe

More information

Guidelines for proper use of Plate elements

Guidelines for proper use of Plate elements Guidelines for proper use of Plate elements In structural analysis using finite element method, the analysis model is created by dividing the entire structure into finite elements. This procedure is known

More information

EECS490: Digital Image Processing. Lecture #17

EECS490: Digital Image Processing. Lecture #17 Lecture #17 Morphology & set operations on images Structuring elements Erosion and dilation Opening and closing Morphological image processing, boundary extraction, region filling Connectivity: convex

More information

Modelling Flat Spring Performance Using FEA

Modelling Flat Spring Performance Using FEA Modelling Flat Spring Performance Using FEA Blessing O Fatola, Patrick Keogh and Ben Hicks Department of Mechanical Engineering, University of Corresponding author bf223@bath.ac.uk Abstract. This paper

More information

Patterns of variation within the Montastraea "annularis" species complex: results from 2-D and 3-D geometric morphometrics

Patterns of variation within the Montastraea annularis species complex: results from 2-D and 3-D geometric morphometrics University of Iowa Iowa Research Online Theses and Dissertations Fall 2010 Patterns of variation within the Montastraea "annularis" species complex: results from 2-D and 3-D geometric morphometrics Jason

More information

The Anatomical Equivalence Class Formulation and its Application to Shape-based Computational Neuroanatomy

The Anatomical Equivalence Class Formulation and its Application to Shape-based Computational Neuroanatomy The Anatomical Equivalence Class Formulation and its Application to Shape-based Computational Neuroanatomy Sokratis K. Makrogiannis, PhD From post-doctoral research at SBIA lab, Department of Radiology,

More information

Computational Methods in NeuroImage Analysis!

Computational Methods in NeuroImage Analysis! Computational Methods in NeuroImage Analysis! Instructor: Moo K. Chung" mkchung@wisc.edu" Lecture 8" Geometric computation" October 29, 2010" NOTICE! Final Exam: December 3 9:00-12:00am (35%)" Topics:

More information

General Applications

General Applications Chapter General Applications The general analysis modules can be used to calculate section properties, wind pressures on buildings and evaluate drainage systems of building roofs. General Applications

More information

Computational Design. Stelian Coros

Computational Design. Stelian Coros Computational Design Stelian Coros Schedule for presentations February 3 5 10 12 17 19 24 26 March 3 5 10 12 17 19 24 26 30 April 2 7 9 14 16 21 23 28 30 Send me: ASAP: 3 choices for dates + approximate

More information

Deformable Segmentation using Sparse Shape Representation. Shaoting Zhang

Deformable Segmentation using Sparse Shape Representation. Shaoting Zhang Deformable Segmentation using Sparse Shape Representation Shaoting Zhang Introduction Outline Our methods Segmentation framework Sparse shape representation Applications 2D lung localization in X-ray 3D

More information

PLANNING RECONSTRUCTION FOR FACIAL ASYMMETRY

PLANNING RECONSTRUCTION FOR FACIAL ASYMMETRY PLANNING RECONSTRUCTION FOR FACIAL ASYMMETRY ALLAN PONNIAH HELEN WITHEROW ROBERT EVANS DAVID DUNAWAY Craniofacial Unit Great Ormond Street Hospital London WC1N 3JH E-mail: a.ponniah@ucl.ac.uk ROBIN RICHARDS

More information

Computer Graphics and Linear Algebra Rebecca Weber, 2007

Computer Graphics and Linear Algebra Rebecca Weber, 2007 Computer Graphics and Linear Algebra Rebecca Weber, 2007 Vector graphics refers to representing images by mathematical descriptions of geometric objects, rather than by a collection of pixels on the screen

More information

Smart point landmark distribution for thin-plate splines

Smart point landmark distribution for thin-plate splines Smart point landmark distribution for thin-plate splines John Lewis a, Hea-Juen Hwang a, Ulrich Neumann a, and Reyes Enciso b a Integrated Media Systems Center, University of Southern California, 3740

More information

2-Type Series Pressurized Closures

2-Type Series Pressurized Closures 2-Type Series Pressurized Closures A complete pressure tight reenterable closure system for enclosing spliced connections of communications cables in a wide variety of applications. The 2-type Closure

More information

CHAPTER 1 Introduction 1. CHAPTER 2 Images, Sampling and Frequency Domain Processing 37

CHAPTER 1 Introduction 1. CHAPTER 2 Images, Sampling and Frequency Domain Processing 37 Extended Contents List Preface... xi About the authors... xvii CHAPTER 1 Introduction 1 1.1 Overview... 1 1.2 Human and Computer Vision... 2 1.3 The Human Vision System... 4 1.3.1 The Eye... 5 1.3.2 The

More information

Fatigue Crack Growth Simulation using S-version FEM

Fatigue Crack Growth Simulation using S-version FEM Copyright c 2008 ICCES ICCES, vol.8, no.2, pp.67-72 Fatigue Crack Growth Simulation using S-version FEM M. Kikuchi 1,Y.Wada 2, A. Utsunomiya 3 and Y. Li 4 Summary Fatigue crack growth under mixed mode

More information

Shape Contexts. Newton Petersen 4/25/2008

Shape Contexts. Newton Petersen 4/25/2008 Shape Contexts Newton Petersen 4/25/28 "Shape Matching and Object Recognition Using Shape Contexts", Belongie et al. PAMI April 22 Agenda Study Matlab code for computing shape context Look at limitations

More information

3D Shape Modeling by Deformable Models. Ye Duan

3D Shape Modeling by Deformable Models. Ye Duan 3D Shape Modeling by Deformable Models Ye Duan Previous Work Shape Reconstruction from 3D data. Volumetric image datasets. Unorganized point clouds. Interactive Mesh Editing. Vertebral Dataset Vertebral

More information

COLLAPSE LOAD OF PIPE BENDS WITH ASSUMED AND ACTUAL CROSS SECTIONS UNDER IN-PLANE AND OUT-OF-PLANE MOMENTS

COLLAPSE LOAD OF PIPE BENDS WITH ASSUMED AND ACTUAL CROSS SECTIONS UNDER IN-PLANE AND OUT-OF-PLANE MOMENTS VOL., NO., NOVEMBER 6 ISSN 8968 6-6 Asian Research Publishing Network (ARPN). All rights reserved. COLLAPSE LOAD OF PIPE BENDS WITH ASSUMED AND ACTUAL CROSS SECTIONS UNDER IN-PLANE AND OUT-OF-PLANE MOMENTS

More information

Geometric Transformations and Image Warping Chapter 2.6.5

Geometric Transformations and Image Warping Chapter 2.6.5 Geometric Transformations and Image Warping Chapter 2.6.5 Ross Whitaker (modified by Guido Gerig) SCI Institute, School of Computing University of Utah Univ of Utah, CS6640 2010 1 Geometric Transformations

More information

Learning a Manifold as an Atlas Supplementary Material

Learning a Manifold as an Atlas Supplementary Material Learning a Manifold as an Atlas Supplementary Material Nikolaos Pitelis Chris Russell School of EECS, Queen Mary, University of London [nikolaos.pitelis,chrisr,lourdes]@eecs.qmul.ac.uk Lourdes Agapito

More information

Fundamentals of Cryptography

Fundamentals of Cryptography Fundamentals of Cryptography Topics in Quantum-Safe Cryptography June 23, 2016 Part III Data Encryption Standard The Feistel network design m m 0 m 1 f k 1 1 m m 1 2 f k 2 2 DES uses a Feistel network

More information

IB-2 Polarization Practice

IB-2 Polarization Practice Name: 1. Plane-polarized light is incident normally on a polarizer which is able to rotate in the plane perpendicular to the light as shown below. In diagram 1, the intensity of the incident light is 8

More information

Lecture 10: Image-Based Modelling

Lecture 10: Image-Based Modelling Computational Biology Group (CoBI), D-BSSE, ETHZ Lecture 10: Image-Based Modelling Prof Dagmar Iber, PhD DPhil MSc Computational Biology 2015 Contents 1 Image-based Domains for Simulations Staining & Imaging

More information

Linear Static Analysis of a Simply-Supported Stiffened Plate

Linear Static Analysis of a Simply-Supported Stiffened Plate WORKSHOP 7 Linear Static Analysis of a Simply-Supported Stiffened Plate Objectives: Create a geometric representation of a stiffened plate. Use the geometry model to define an analysis model comprised

More information

1. Carlos A. Felippa, Introduction to Finite Element Methods,

1. Carlos A. Felippa, Introduction to Finite Element Methods, Chapter Finite Element Methods In this chapter we will consider how one can model the deformation of solid objects under the influence of external (and possibly internal) forces. As we shall see, the coupled

More information

Advanced Computer Graphics

Advanced Computer Graphics G22.2274 001, Fall 2009 Advanced Computer Graphics Project details and tools 1 Project Topics Computer Animation Geometric Modeling Computational Photography Image processing 2 Optimization All projects

More information

Chapter 3 Analysis of Original Steel Post

Chapter 3 Analysis of Original Steel Post Chapter 3. Analysis of original steel post 35 Chapter 3 Analysis of Original Steel Post This type of post is a real functioning structure. It is in service throughout the rail network of Spain as part

More information

ASSIGNMENT 1 INTRODUCTION TO CAD

ASSIGNMENT 1 INTRODUCTION TO CAD Computer Aided Design(2161903) ASSIGNMENT 1 INTRODUCTION TO CAD Theory 1. Discuss the reasons for implementing a CAD system. 2. Define computer aided design. Compare computer aided design and conventional

More information

Snakes, level sets and graphcuts. (Deformable models)

Snakes, level sets and graphcuts. (Deformable models) INSTITUTE OF INFORMATION AND COMMUNICATION TECHNOLOGIES BULGARIAN ACADEMY OF SCIENCE Snakes, level sets and graphcuts (Deformable models) Centro de Visión por Computador, Departament de Matemàtica Aplicada

More information

Holt Grade Mathematics Curriculum Guides

Holt Grade Mathematics Curriculum Guides Holt Grade 6 2007 2008 Mathematics Curriculum Guides Wisconsin Mathematics Standard MPS Learning Target Wisconsin Assessment Descriptors for Mathematics Curriculum Throughout The Year A. Mathematical Processes

More information

Version 2.4 of Idiogrid

Version 2.4 of Idiogrid Version 2.4 of Idiogrid Structural and Visual Modifications 1. Tab delimited grids in Grid Data window. The most immediately obvious change to this newest version of Idiogrid will be the tab sheets that

More information

Shape description and modelling

Shape description and modelling COMP3204/COMP6223: Computer Vision Shape description and modelling Jonathon Hare jsh2@ecs.soton.ac.uk Extracting features from shapes represented by connected components Recap: Connected Component A connected

More information

Image warping/morphing

Image warping/morphing Image warping/morphing Digital Visual Effects, Spring 2007 Yung-Yu Chuang 2007/3/20 with slides b Richard Szeliski, Steve Seitz, Tom Funkhouser and Aleei Efros Image warping Image formation B A Sampling

More information

Raghuraman Gopalan Center for Automation Research University of Maryland, College Park

Raghuraman Gopalan Center for Automation Research University of Maryland, College Park 2D Shape Matching (and Object Recognition) Raghuraman Gopalan Center for Automation Research University of Maryland, College Park 1 Outline What is a shape? Part 1: Matching/ Recognition Shape contexts

More information

Geometric and Solid Modeling. Problems

Geometric and Solid Modeling. Problems Geometric and Solid Modeling Problems Define a Solid Define Representation Schemes Devise Data Structures Construct Solids Page 1 Mathematical Models Points Curves Surfaces Solids A shape is a set of Points

More information

Centre for Digital Image Measurement and Analysis, School of Engineering, City University, Northampton Square, London, ECIV OHB

Centre for Digital Image Measurement and Analysis, School of Engineering, City University, Northampton Square, London, ECIV OHB HIGH ACCURACY 3-D MEASUREMENT USING MULTIPLE CAMERA VIEWS T.A. Clarke, T.J. Ellis, & S. Robson. High accuracy measurement of industrially produced objects is becoming increasingly important. The techniques

More information

LIGO Scissors Table Static Test and Analysis Results

LIGO Scissors Table Static Test and Analysis Results LIGO-T980125-00-D HYTEC-TN-LIGO-31 LIGO Scissors Table Static Test and Analysis Results Eric Swensen and Franz Biehl August 30, 1998 Abstract Static structural tests were conducted on the LIGO scissors

More information

Graphs and Linear Functions

Graphs and Linear Functions Graphs and Linear Functions A -dimensional graph is a visual representation of a relationship between two variables given by an equation or an inequality. Graphs help us solve algebraic problems by analysing

More information

Challenges in Design Optimization of Textile Reinforced Composites

Challenges in Design Optimization of Textile Reinforced Composites Challenges in Design Optimization of Textile Reinforced Composites Colby C. Swan, Assoc. Professor HyungJoo Kim, Research Asst. Young Kyo Seo, Research Assoc. Center for Computer Aided Design The University

More information

RWS E Frenco GmbH

RWS E Frenco GmbH RWS E 04 2016 Frenco GmbH Wälzprüfung General Information contact ratio > 1 roll conventional with master gear single flank gear roll inspection contact ratio < 1 power gear flank analysing with roll master

More information

An Adaptive Eigenshape Model

An Adaptive Eigenshape Model An Adaptive Eigenshape Model Adam Baumberg and David Hogg School of Computer Studies University of Leeds, Leeds LS2 9JT, U.K. amb@scs.leeds.ac.uk Abstract There has been a great deal of recent interest

More information

Shape Matching and Object Recognition using Low Distortion Correspondences

Shape Matching and Object Recognition using Low Distortion Correspondences Shape Matching and Object Recognition using Low Distortion Correspondences Authors: Alexander C. Berg, Tamara L. Berg, Jitendra Malik Presenter: Kalyan Chandra Chintalapati Flow of the Presentation Introduction

More information

4. Specifications and Additional Information

4. Specifications and Additional Information 4. Specifications and Additional Information AGX52004-1.0 8B/10B Code This section provides information about the data and control codes for Arria GX devices. Code Notation The 8B/10B data and control

More information

Evolutionary Morphing

Evolutionary Morphing Evolutionary Morphing David F. Wiley Nina Amenta Dan A. Alcantara Deboshmita Ghosh Yong J. Kil Eric Delson Will Harcourt-Smith F. James Rohlf Katherine St. John Bernd Hamann Institute for Data Analysis

More information

Filtering Images. Contents

Filtering Images. Contents Image Processing and Data Visualization with MATLAB Filtering Images Hansrudi Noser June 8-9, 010 UZH, Multimedia and Robotics Summer School Noise Smoothing Filters Sigmoid Filters Gradient Filters Contents

More information

Lecture 8 Object Descriptors

Lecture 8 Object Descriptors Lecture 8 Object Descriptors Azadeh Fakhrzadeh Centre for Image Analysis Swedish University of Agricultural Sciences Uppsala University 2 Reading instructions Chapter 11.1 11.4 in G-W Azadeh Fakhrzadeh

More information

Intuitive, Localized Analysis of Shape Variability

Intuitive, Localized Analysis of Shape Variability Intuitive, Localized Analysis of Shape Variability Paul Yushkevich, Stephen M. Pizer, Sarang Joshi, and J. S. Marron Medical Image Display and Analysis Group, University of North Carolina at Chapel Hill.

More information

Morphological Analysis of Brain Structures Using Spatial Normalization

Morphological Analysis of Brain Structures Using Spatial Normalization Morphological Analysis of Brain Structures Using Spatial Normalization C. Davatzikos 1, M. Vaillant 1, S. Resnick 2, J.L. Prince 3;1, S. Letovsky 1, and R.N. Bryan 1 1 Department of Radiology, Johns Hopkins

More information

Using three-dimensional CURVIC contact models to predict stress concentration effects in an axisymmetric model

Using three-dimensional CURVIC contact models to predict stress concentration effects in an axisymmetric model Boundary Elements XXVII 245 Using three-dimensional CURVIC contact models to predict stress concentration effects in an axisymmetric model J. J. Rencis & S. R. Pisani Department of Mechanical Engineering,

More information

Supplementary Materials for

Supplementary Materials for advances.sciencemag.org/cgi/content/full/4/1/eaao7005/dc1 Supplementary Materials for Computational discovery of extremal microstructure families The PDF file includes: Desai Chen, Mélina Skouras, Bo Zhu,

More information

Automated 3D Facial Landmarking

Automated 3D Facial Landmarking Automated 3D Facial Landmarking Paul F. Whelan Professor of Computer Vision Centre for Image Processing and Analysis Dublin City University, Ireland paul.whelan@dcu.ie Background New insights in developmental

More information

PTC Newsletter January 14th, 2002

PTC  Newsletter January 14th, 2002 PTC Email Newsletter January 14th, 2002 PTC Product Focus: Pro/MECHANICA (Structure) Tip of the Week: Creating and using Rigid Connections Upcoming Events and Training Class Schedules PTC Product Focus:

More information

Line Generalisation Algorithms Specific Theory

Line Generalisation Algorithms Specific Theory Line Generalisation Algorithms Specific Theory Digital Generalisation Digital generalisation can be defined as the process of deriving, from a data source, a symbolically or digitally-encoded cartographic

More information