Modeling Transformations
|
|
- Chastity Chambers
- 5 years ago
- Views:
Transcription
1 Modeling Transformations Thomas Funkhouser Princeton Universit CS 426, Fall 2 Modeling Transformations Specif transformations for objects Allos definitions of objects in on coordinate sstems Allos use of object definition multiple times in a scene H&B Figure 9
2 Overvie 2D Transformations Basic 2D transformations Matri representation Matri composition 3D Transformations Basic 3D transformations Same as 2D Transformation Hierarchies Scene graphs Ra casting 2D Modeling Transformations Modeling Coordinates Scale Translate Scale Rotate Translate World Coordinates 2
3 2D Modeling Transformations Modeling Coordinates Again? World Coordinates 2D Modeling Transformations Modeling Coordinates 3
4 2D Modeling Transformations Modeling Coordinates Scale.3,.3 2D Modeling Transformations Modeling Coordinates Scale.3,.3 Rotate -9 4
5 2D Modeling Transformations Modeling Coordinates Scale.3,.3 Rotate -9 Translate 5, 3 World Coordinates Basic 2D Transformations Translation: Scale: + t + t * s * s Rotation: *cos - *sin *sin + *cos Shear: + h* + h* 5
6 Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: *cos - *sin *sin + *cos Transformations can be combined (ith simple algebra) Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: *cos - *sin *sin + *cos 6
7 ! " # $ % & ' ( ) * +, -. / Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: (,) *cos - *sin *sin + *cos *s *s (,) Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: *cos - *sin *sin + *cos (*s)*cos (*s)*sin (*s)*sin + (*s)*cos 7
8 : ; < Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: *cos - *sin *sin + *cos ((*s)*cos (*s)*sin) + t ((*s)*sin + (*s)*cos) + t Basic 2D Transformations Translation: Scale: + t + t * s * s Shear: + h* + h* Rotation: *cos - *sin *sin + *cos ((*s)*cos (*s)*sin) + t ((*s)*sin + (*s)*cos) + t 8
9 A B C D E F G Overvie 2D Transformations Basic 2D transformations Matri representation Matri composition 3D Transformations Basic 3D transformations Same as 2D Transformation Hierarchies Scene graphs Ra casting Matri Representation We can represent a 2D transformation b a matri a c b d Multipling a matri b a column vector corresponds to appling the transformation to a point a c b d a + b c + d 9
10 Matri Representation Transformations can be combined b matri multiplication a c be d g f i h k j l Matrices are a convenient and efficient a to represent a sequence of transformations 22 Matrices What tpes of transformations can be represented ith a 22 matri? 2D Identit? a c b d 2D Scale around (,)? s* s * as c b ds
11 22 Matrices What tpes of transformations can be represented ith a 22 matri? 2D Rotate around (,)? cos * sin * sin * + cos* cos a b sin sin c d cos 2D Shear? sh sh + * * + a bsh sh c d 22 Matrices What tpes of transformations can be represented ith a 22 matri? 2D Mirror over Y ais? 2D Mirror over (,)? a c a c b d b d
12 H 22 Matrices What tpes of transformations can be represented ith a 22 matri? 2D Translation? t + + t a NO! c b d Onl linear 2D transformations can be represented ith a 22 matri 2D Translation 2D translation can be represented b a 33 matri Point represented ith homogeneous coordinates t + + t t t 2
13 3 Basic 2D Transformations Basic 2D transformations as 33 matrices cos sin sin cos t t sh sh Translate Rotate Shear s s Scale Homogeneous Coordinates Add a 3rd coordinate to ever 2D point I (,, ) represents a point at location (/, /) J (,, ) represents a point at infinit K (,, ) is not alloed 2 2 (2,,) or (4,2,2) or (6,3,3) Convenient coordinate sstem to represent man useful transformations
14 4 Linear Transformations Linear transformations are combinations of L Scale, M Rotation, N Shear, and O Mirror Properties of linear transformations: P Satisfies: Q Origin maps to origin R Lines map to lines S Parallel lines remain parallel T Ratios are preserved U Closed under composition ) ( ) ( ) ( p p p p T s s T s s T + + d c b a Affine Transformations Affine transformations are combinations of V Linear transformations, and W Translations Properties of affine transformations: X Origin does not map to origin Y Lines map to lines Z Parallel lines remain parallel [ Ratios are preserved \ Closed under composition f e d c b a
15 ] ^ _ ` a b c d e f g h i j Projective Transformations Projective transformations Affine transformations, and Projective arps a b d e g h c f i Properties of projective transformations: Origin does not map to origin Lines map to lines Parallel lines do not necessaril remain parallel Ratios are not preserved (but cross-ratios are) Closed under composition Overvie 2D Transformations Basic 2D transformations Matri representation Matri composition 3D Transformations Basic 3D transformations Same as 2D Transformation Hierarchies Scene graphs Ra casting 5
16 k l m Matri Composition Transformations can be combined b matri multiplication t t cos sin sin cos s s p T(t,t) R() S(s,s) p Matri Composition Matrices are a convenient and efficient a to represent a sequence of transformations General purpose representation Hardare matri multipl Efficienc ith premultiplication» Matri multiplication is associative p (T * (R * (S*p) ) ) p (T*R*S) * p 6
17 n o Matri Composition Be aare: order of transformations matters» Matri multiplication is not commutative p T * R * S * p Global Local Matri Composition Rotate b around arbitrar point (a,b) MT(-a,-b) * R() * T(a,b) (a,b) Scale b s,s around arbitrar point (a,b) MT(-a,-b) * S(s,s) * T(a,b) (a,b) 7
18 8 Overvie 2D Transformations p Basic 2D transformations q Matri representation r Matri composition 3D Transformations s Basic 3D transformations t Same as 2D Transformation Hierarchies u Scene graphs v Ra casting 3D Transformations Same idea as 2D transformations Homogeneous coordinates: (,,z,) 44 transformation matrices z p o n m l k j i h g f e d c b a z
19 9 Basic 3D Transformations z z z tz t t z z sz s s z z z Identit Scale Translation Mirror over X ais Basic 3D Transformations z z cos sin sin cos Rotate around Z ais: z z cos sin sin cos Rotate around Y ais: z z cos sin sin cos Rotate around X ais:
20 z { } ~ Overvie 2D Transformations Basic 2D transformations Matri representation Matri composition 3D Transformations Basic 3D transformations Same as 2D Transformation Hierarchies Scene graphs Ra casting Transformation Hierarchies Build scene ith hierarch of coordinate sstems Each level stores matri representing transformation from parents coordinate sstem Upper Arm [M 2 ] Base [M ] Loer Arm [M 3 ] Robot Arm Angel Figures 8.8 & 8.9 2
21 Transformation Eample Well-suited for humanoid characters Root Chest LHip RHip Neck LCollar LCollar LKnee RKnee Head LShld LShld LAnkle RAnkle LElbo LElbo LWrist LWrist Rose et al. 96 Transformation Eample Mike Marr, COS 426, Princeton Universit, 995 2
22 Transformation Eample 2 An object ma appear in a scene multiple times Dra same 3D data ith different transformations Transformation Eample 2 Building Floor Floor 2 Floor 3 Floor 4 Floor5 Floor Furniture Office Office N Bookshelf Office Furniture Desk Desk 2 Chair Chair K Bookshelf Desk Chair 22
23 ƒ Ra Casting With Hierarchies Transform ras, not primitives For each node...» Transform ra b inverse of matri» Intersect ith primitives» Transform hit b matri Upper Arm [M 2 ] Base [M ] Loer Arm [M 3 ] Robot Arm Angel Figures 8.8 & 8.9 Summar Coordinate sstems World coordinates Modeling coordinates Representations of 3D affine transformations Scale, rotate, translate, shear 44 Matrices Composition of 3D transformations Matri multiplication (order matters) Transformation hierarchies 23
Modeling Transformations
Transformations Transformations Specif transformations for objects o Allos definitions of objects in on coordinate sstems o Allos use of object definition multiple times in a scene Adam Finkelstein Princeton
More informationModeling Transformations
שיעור 3 גרפיקה ממוחשבת תשס"ח ב ליאור שפירא Modeling Transformations Heavil based on: Thomas Funkhouser Princeton Universit CS 426, Fall 2 Modeling Transformations Specif transformations for objects Allows
More informationScene Graphs & Modeling Transformations COS 426
Scene Graphs & Modeling Transformations COS 426 3D Object Representations Points Range image Point cloud Surfaces Polgonal mesh Subdivision Parametric Implicit Solids Voels BSP tree CSG Sweep High-level
More informationCSE328 Fundamentals of Computer Graphics: Theory, Algorithms, and Applications
CSE328 Fundamentals of Computer Graphics: Theor, Algorithms, and Applications Hong in State Universit of New York at Ston Brook (Ston Brook Universit) Ston Brook, New York 794-44 Tel: (63)632-845; Fa:
More informationModeling Transformations Revisited
Modeling Transformations Revisited Basic 3D Transformations Translation Scale Shear Rotation 3D Transformations Same idea as 2D transformations o Homogeneous coordinates: (,,z,w) o 44 transformation matrices
More informationImage Warping. Some slides from Steve Seitz
Image Warping http://www.jeffre-martin.com Some slides from Steve Seitz 5-463: Computational Photograph Aleei Efros, CMU, Spring 2 Image Transformations image filtering: change range of image g() = T(f())
More informationImage Warping. Some slides from Steve Seitz
Image Warping http://www.jeffre-martin.com Some slides from Steve Seitz 5-463: Computational Photograph Aleei Efros, CMU, Fall 26 Image Warping image filtering: change range of image g() T(f()) f T f image
More informationImage Warping : Computational Photography Alexei Efros, CMU, Fall Some slides from Steve Seitz
Image Warping http://www.jeffre-martin.com Some slides from Steve Seitz 5-463: Computational Photograph Aleei Efros, CMU, Fall 2 Image Transformations image filtering: change range of image g() T(f())
More informationImage Warping (Szeliski Sec 2.1.2)
Image Warping (Szeliski Sec 2..2) http://www.jeffre-martin.com CS94: Image Manipulation & Computational Photograph Aleei Efros, UC Berkele, Fall 7 Some slides from Steve Seitz Image Transformations image
More informationModeling Transformations
Modeling Transformations Michael Kazhdan (601.457/657) HB Ch. 5 FvDFH Ch. 5 Overview Ra-Tracing so far Modeling transformations Ra Tracing Image RaTrace(Camera camera, Scene scene, int width, int heigh,
More informationModeling Transformations
Modeling Transformations Michael Kazhdan (601.457/657) HB Ch. 5 FvDFH Ch. 5 Announcement Assignment 2 has been posted: Due: 10/24 ASAP: Download the code and make sure it compiles» On windows: just build
More informationImage Warping CSE399b, Spring 07 Computer Vision
Image Warping CSE399b, Spring 7 Computer Vision http://maps.a9.com http://www.cs.ubc.ca/~mbrown/autostitch/autostitch.html http://www.cs.ubc.ca/~mbrown/autostitch/autostitch.html Autostiching on A9.com
More informationComputer Animation. Courtesy of Adam Finkelstein
Computer Animation Courtesy of Adam Finkelstein Advertisement Computer Animation What is animation? o Make objects change over time according to scripted actions What is simulation? o Predict how objects
More informationTransformations II. Week 2, Wed Jan 17
Universit of British Columbia CPSC 34 Computer Graphics Jan-Apr 27 Tamara Munzner Transformations II Week 2, Wed Jan 7 http://www.ugrad.cs.ubc.ca/~cs34/vjan27 Readings for Jan 5-22 FCG Chap 6 Transformation
More informationCharacter Animation COS 426
Character Animation COS 426 Syllabus I. Image processing II. Modeling III. Rendering IV. Animation Image Processing (Rusty Coleman, CS426, Fall99) Rendering (Michael Bostock, CS426, Fall99) Modeling (Dennis
More informationImage Warping. Many slides from Alyosha Efros + Steve Seitz. Photo by Sean Carroll
Image Warping Man slides from Alosha Efros + Steve Seitz Photo b Sean Carroll Morphing Blend from one object to other with a series of local transformations Image Transformations image filtering: change
More informationComputer Graphics. P04 Transformations. Aleksandra Pizurica Ghent University
Computer Graphics P4 Transformations Aleksandra Pizurica Ghent Universit Telecommunications and Information Processing Image Processing and Interpretation Group Transformations in computer graphics Goal:
More informationHow is project #1 going?
How is project # going? Last Lecture Edge Detection Filtering Pramid Toda Motion Deblur Image Transformation Removing Camera Shake from a Single Photograph Rob Fergus, Barun Singh, Aaron Hertzmann, Sam
More informationLast Lecture. Edge Detection. Filtering Pyramid
Last Lecture Edge Detection Filtering Pramid Toda Motion Deblur Image Transformation Removing Camera Shake from a Single Photograph Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T.
More informationImage warping. image filtering: change range of image. image warping: change domain of image g(x) = f(h(x)) h(y)=0.5y+0.5. h([x,y])=[x,y/2] f h
Image warping Image warping image filtering: change range of image g() () = h(f()) h(f()) f h g h()=0.5+0.5 image warping: change domain of image g() = f(h()) f h g h([,])=[,/2] Parametric (global) warping
More informationTransformations III. Week 2, Fri Jan 19
Universit of British Columbia CPSC 34 Computer Graphics Jan-Apr 2007 Tamara Munzner Transformations III Week 2, Fri Jan 9 http://www.ugrad.cs.ubc.ca/~cs34/vjan2007 Readings for Jan 5-22 FCG Chap 6 Transformation
More informationComputer Graphics. Geometric Transformations
Computer Graphics Geometric Transformations Contents coordinate sstems scalar values, points, vectors, matrices right-handed and left-handed coordinate sstems mathematical foundations transformations mathematical
More information3-Dimensional Viewing
CHAPTER 6 3-Dimensional Vieing Vieing and projection Objects in orld coordinates are projected on to the vie plane, hich is defined perpendicular to the vieing direction along the v -ais. The to main tpes
More informationComputer Graphics. Geometric Transformations
Contents coordinate sstems scalar values, points, vectors, matrices right-handed and left-handed coordinate sstems mathematical foundations transformations mathematical descriptions of geometric changes,
More informationTransformations II. Arbitrary 3D Rotation. What is its inverse? What is its transpose? Can we constructively elucidate this relationship?
Utah School of Computing Fall 25 Transformations II CS46 Computer Graphics From Rich Riesenfeld Fall 25 Arbitrar 3D Rotation What is its inverse? What is its transpose? Can we constructivel elucidate this
More informationImage Warping. Computational Photography Derek Hoiem, University of Illinois 09/28/17. Photo by Sean Carroll
Image Warping 9/28/7 Man slides from Alosha Efros + Steve Seitz Computational Photograph Derek Hoiem, Universit of Illinois Photo b Sean Carroll Reminder: Proj 2 due monda Much more difficult than project
More information4. Two Dimensional Transformations
4. Two Dimensional Transformations CS362 Introduction to Computer Graphics Helena Wong, 2 In man applications, changes in orientations, sizes, and shapes are accomplished with geometric transformations
More informationHomogeneous Coordinates
COMS W4172 3D Math 2 Steven Feiner Department of Computer Science Columbia Universit New York, NY 127 www.cs.columbia.edu/graphics/courses/csw4172 Februar 1, 218 1 Homogeneous Coordinates w X W Y X W Y
More informationImage Warping, mesh, and triangulation CSE399b, Spring 07 Computer Vision
http://grail.cs.washington.edu/projects/rotoscoping/ Image Warping, mesh, and triangulation CSE399b, Spring 7 Computer Vision Man of the slides from A. Efros. Parametric (global) warping Eamples of parametric
More informationCSE528 Computer Graphics: Theory, Algorithms, and Applications
CSE528 Computer Graphics: Theor, Algorithms, and Applications Hong Qin State Universit of New York at Ston Brook (Ston Brook Universit) Ston Brook, New York 794--44 Tel: (63)632-845; Fa: (63)632-8334 qin@cs.sunsb.edu
More informationThe 3-D Graphics Rendering Pipeline
The 3-D Graphics Rendering Pipeline Modeling Trival Rejection Illumination Viewing Clipping Projection Almost ever discussion of 3-D graphics begins here Seldom are an two versions drawn the same wa Seldom
More information2D transformations and homogeneous coordinates
2D transformations and homogeneous coordinates Dr Nicolas Holzschuch Universit of Cape Ton e-mail: holzschu@cs.uct.ac.za Map of the lecture Transformations in 2D: vector/matri notation eample: translation,
More informationIMGD The Game Development Process: 3D Modeling and Transformations
IMGD - The Game Development Process: 3D Modeling and Transformations b Robert W. Lindeman (gogo@wpi.edu Kent Quirk (kent_quirk@cognito.com (with lots of input from Mark Clapool! Overview of 3D Modeling
More informationInteractive Computer Graphics. Warping and morphing. Warping and Morphing. Warping and Morphing. Lecture 14+15: Warping and Morphing. What is.
Interactive Computer Graphics Warping and morphing Lecture 14+15: Warping and Morphing Lecture 14: Warping and Morphing: Slide 1 Lecture 14: Warping and Morphing: Slide 2 Warping and Morphing What is Warping
More informationWarping, Morphing and Mosaics
Computational Photograph and Video: Warping, Morphing and Mosaics Prof. Marc Pollefes Dr. Gabriel Brostow Toda s schedule Last week s recap Warping Morphing Mosaics Toda s schedule Last week s recap Warping
More informationUses of Transformations. 2D transformations Homogeneous coordinates. Transformations. Transformations. Transformations. Transformations and matrices
Uses of Transformations 2D transformations Homogeneous coordinates odeling: position and resie parts of a comple model; Viewing: define and position the virtual camera Animation: define how objects move/change
More informationWhat and Why Transformations?
2D transformations What and Wh Transformations? What? : The geometrical changes of an object from a current state to modified state. Changing an object s position (translation), orientation (rotation)
More informationCS559: Computer Graphics
CS559: Computer Graphics Lecture 8: 3D Transforms Li Zhang Spring 28 Most Slides from Stephen Chenne Finish Color space Toda 3D Transforms and Coordinate sstem Reading: Shirle ch 6 RGB and HSV Green(,,)
More informationTwo Dimensional Viewing
Two Dimensional Viewing Dr. S.M. Malaek Assistant: M. Younesi Two Dimensional Viewing Basic Interactive Programming Basic Interactive Programming User controls contents, structure, and appearance of objects
More informationAffine and Projective Transformations
CS 674: Intro to Computer Vision Affine and Projective Transformations Prof. Adriana Kovaska Universit of Pittsburg October 3, 26 Alignment problem We previousl discussed ow to matc features across images,
More informationEditing and Transformation
Lecture 5 Editing and Transformation Modeling Model can be produced b the combination of entities that have been edited. D: circle, arc, line, ellipse 3D: primitive bodies, etrusion and revolved of a profile
More information1. We ll look at: Types of geometrical transformation. Vector and matrix representations
Tob Howard COMP272 Computer Graphics and Image Processing 3: Transformations Tob.Howard@manchester.ac.uk Introduction We ll look at: Tpes of geometrical transformation Vector and matri representations
More informationCS4670: Computer Vision
CS467: Computer Vision Noah Snavely Lecture 8: Geometric transformations Szeliski: Chapter 3.6 Reading Announcements Project 2 out today, due Oct. 4 (demo at end of class today) Image alignment Why don
More informationTransformations. Examples of transformations: shear. scaling
Transformations Eamples of transformations: translation rotation scaling shear Transformations More eamples: reflection with respect to the y-ais reflection with respect to the origin Transformations Linear
More informationComputer Animation. Michael Kazhdan ( /657) HB 16.5, 16.6 FvDFH 21.1, 21.3, 21.4
Computer Animation Michael Kazhdan (601.457/657) HB 16.5, 16.6 FvDFH 21.1, 21.3, 21.4 Overview Some early animation history http://web.inter.nl.net/users/anima/index.htm http://www.public.iastate.edu/~rllew/chrnearl.html
More informationComputer Graphics. 2D transformations. Transforma3ons in computer graphics. Overview. Basic classes of geometric transforma3ons
Transforma3ons in computer graphics omputer Graphics Transforma3ons leksandra Piurica Goal: introduce methodolog to hange coordinate sstem Move and deform objects Principle: transforma3ons are applied
More informationGLOBAL EDITION. Interactive Computer Graphics. A Top-Down Approach with WebGL SEVENTH EDITION. Edward Angel Dave Shreiner
GLOBAL EDITION Interactive Computer Graphics A Top-Down Approach with WebGL SEVENTH EDITION Edward Angel Dave Shreiner This page is intentionall left blank. 4.10 Concatenation of Transformations 219 in
More informationDetermining the 2d transformation that brings one image into alignment (registers it) with another. And
Last two lectures: Representing an image as a weighted combination of other images. Toda: A different kind of coordinate sstem change. Solving the biggest problem in using eigenfaces? Toda Recognition
More informationMore on Transformations. COS 426, Spring 2019 Princeton University
More on Transformations COS 426, Spring 2019 Princeton Universit Agenda Grab-bag of topics related to transformations: General rotations! Euler angles! Rodrigues s rotation formula Maintaining camera transformations!
More informationProf. Feng Liu. Winter /05/2019
Prof. Feng Liu Winter 2019 http://www.cs.pd.edu/~fliu/courses/cs410/ 02/05/2019 Last Time Image alignment 2 Toda Image warping The slides for this topic are used from Prof. Yung-Yu Chuang, which use materials
More informationCMSC 425: Lecture 10 Basics of Skeletal Animation and Kinematics
: Lecture Basics of Skeletal Animation and Kinematics Reading: Chapt of Gregor, Game Engine Architecture. The material on kinematics is a simplification of similar concepts developed in the field of robotics,
More informationGeometric Model of Camera
Geometric Model of Camera Dr. Gerhard Roth COMP 42A Winter 25 Version 2 Similar Triangles 2 Geometric Model of Camera Perspective projection P(X,Y,Z) p(,) f X Z f Y Z 3 Parallel lines aren t 4 Figure b
More informationCS 2770: Intro to Computer Vision. Multiple Views. Prof. Adriana Kovashka University of Pittsburgh March 14, 2017
CS 277: Intro to Computer Vision Multiple Views Prof. Adriana Kovashka Universit of Pittsburgh March 4, 27 Plan for toda Affine and projective image transformations Homographies and image mosaics Stereo
More information(x, y) (ρ, θ) ρ θ. Polar Coordinates. Cartesian Coordinates
Coordinate Sstems Point Representation in two dimensions Cartesian Coordinates: (; ) Polar Coordinates: (; ) (, ) ρ θ (ρ, θ) Cartesian Coordinates Polar Coordinates p = CPS1, 9: Computer Graphics D Geometric
More informationCS770/870 Spring 2017 Transformations
CS770/870 Spring 2017 Transformations Coordinate sstems 2D Transformations Homogeneous coordinates Matrices, vectors, points Coordinate Sstems Coordinate sstems used in graphics Screen coordinates: the
More informationToday s class. Geometric objects and transformations. Informationsteknologi. Wednesday, November 7, 2007 Computer Graphics - Class 5 1
Toda s class Geometric objects and transformations Wednesda, November 7, 27 Computer Graphics - Class 5 Vector operations Review of vector operations needed for working in computer graphics adding two
More informationCS Computer Graphics: Transformations & The Synthetic Camera
CS 543 - Computer Graphics: Transformations The Snthetic Camera b Robert W. Lindeman gogo@wpi.edu (with help from Emmanuel Agu ;-) Introduction to Transformations A transformation changes an objects Size
More informationTransforms II. Overview. Homogeneous Coordinates 3-D Transforms Viewing Projections. Homogeneous Coordinates. x y z w
Transforms II Overvie Homogeneous Coordinates 3- Transforms Vieing Projections 2 Homogeneous Coordinates Allos translations to be included into matri transform. Allos us to distinguish beteen a vector
More informationCS 335 Graphics and Multimedia. Geometric Warping
CS 335 Graphics and Multimedia Geometric Warping Geometric Image Operations Eample transformations Straightforward methods and their problems The affine transformation Transformation algorithms: Forward
More informationImage 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 informationA 12-DOF Analytic Inverse Kinematics Solver for Human Motion Control
Journal of Information & Computational Science 1: 1 (2004) 137 141 Available at http://www.joics.com A 12-DOF Analytic Inverse Kinematics Solver for Human Motion Control Xiaomao Wu, Lizhuang Ma, Zhihua
More informationGeneral Purpose Computation (CAD/CAM/CAE) on the GPU (a.k.a. Topics in Manufacturing)
ME 29-R: General Purpose Computation (CAD/CAM/CAE) on the GPU (a.k.a. Topics in Manufacturing) Sara McMains Spring 29 lecture 2 Toda s GPU eample: moldabilit feedback Two-part mold [The Complete Sculptor
More information2D Image Transforms Computer Vision (Kris Kitani) Carnegie Mellon University
2D Image Transforms 16-385 Computer Vision (Kris Kitani) Carnegie Mellon University Extract features from an image what do we do next? Feature matching (object recognition, 3D reconstruction, augmented
More informationGeometric Transformations
CS INTRODUCTION TO COMPUTER GRAPHICS Geometric Transformations D and D Andries an Dam 9/9/7 /46 CS INTRODUCTION TO COMPUTER GRAPHICS How do we use Geometric Transformations? (/) Objects in a scene at the
More informationTo Do. Course Outline. Course Outline. Goals. Motivation. Foundations of Computer Graphics (Fall 2012) CS 184, Lecture 3: Transformations 1
Fondations of Compter Graphics (Fall 212) CS 184, Lectre 3: Transformations 1 http://inst.eecs.berkele.ed/~cs184 Sbmit HW b To Do Start looking at HW 1 (simple, bt need to think) Ais-angle rotation and
More informationAffine Transformation. Edith Law & Mike Terry
Affine Transformation Edith Law & Mike Terry Graphic Models vs. Images Computer Graphics: the creation, storage and manipulation of images and their models Model: a mathematical representation of an image
More informationModeling Transformations
Modeling Transformations Connelly Barnes CS 4810: Graphics Acknowledgment: slides by Connelly Barnes, Misha Kazhdan, Allison Klein, Tom Funkhouser, Adam Finkelstein and David Dobkin Modeling Transformations
More information3D Computer Vision II. Reminder Projective Geometry, Transformations. Nassir Navab. October 27, 2009
3D Computer Vision II Reminder Projective Geometr, Transformations Nassir Navab based on a course given at UNC b Marc Pollefes & the book Multiple View Geometr b Hartle & Zisserman October 27, 29 2D Transformations
More information2D Transformations. 7 February 2017 Week 5-2D Transformations 1
2D Transformations 7 Februar 27 Week 5-2D Transformations Matri math Is there a difference between possible representations? a c b e d f ae bf ce df a c b d e f ae cf be df a b c d e f ae bf ce df 7 Februar
More information1/29/13. Computer Graphics. Transformations. Simple Transformations
/29/3 Computer Graphics Transformations Simple Transformations /29/3 Contet 3D Coordinate Sstems Right hand (or counterclockwise) coordinate sstem Left hand coordinate sstem Not used in this class and
More informationCS F-07 Objects in 2D 1
CS420-2010F-07 Objects in 2D 1 07-0: Representing Polgons We want to represent a simple polgon Triangle, rectangle, square, etc Assume for the moment our game onl uses these simple shapes No curves for
More informationLast Time. Correct Transparent Shadow. Does Ray Tracing Simulate Physics? Does Ray Tracing Simulate Physics? Refraction and the Lifeguard Problem
Graphics Pipeline: Projective Last Time Shadows cast ra to light stop after first intersection Reflection & Refraction compute direction of recursive ra Recursive Ra Tracing maimum number of bounces OR
More informationComputer Graphics. Jeng-Sheng Yeh 葉正聖 Ming Chuan University (modified from Bing-Yu Chen s slides)
Computer Graphics Jeng-Sheng Yeh 葉正聖 Ming Chuan Universit (modified from Bing-Yu Chen s slides) Viewing in 3D 3D Viewing Process Specification of an Arbitrar 3D View Orthographic Parallel Projection Perspective
More informationIntroduction to Homogeneous Transformations & Robot Kinematics
Introduction to Homogeneous Transformations & Robot Kinematics Jennifer Ka Rowan Universit Computer Science Department. Drawing Dimensional Frames in 2 Dimensions We will be working in -D coordinates,
More informationAnnouncements. Equation of Perspective Projection. Image Formation and Cameras
Announcements Image ormation and Cameras Introduction to Computer Vision CSE 52 Lecture 4 Read Trucco & Verri: pp. 22-4 Irfanview: http://www.irfanview.com/ is a good Windows utilit for manipulating images.
More informationVector Algebra Transformations. Lecture 4
Vector Algebra Transformations Lecture 4 Cornell CS4620 Fall 2008 Lecture 4 2008 Steve Marschner 1 Geometry A part of mathematics concerned with questions of size, shape, and relative positions of figures
More informationWhat does OpenGL do?
Theor behind Geometrical Transform What does OpenGL do? So the user specifies a lot of information Ee Center Up Near, far, UP EE Left, right top, bottom, etc. f b CENTER left right top bottom What does
More informationViewing and Projection
Viewing and Projection Sheelagh Carpendale Camera metaphor. choose camera position 2. set up and organie objects 3. choose a lens 4. take the picture View Volumes what gets into the scene perspective view
More informationPhoto by Carl Warner
Photo b Carl Warner Photo b Carl Warner Photo b Carl Warner Fitting and Alignment Szeliski 6. Computer Vision CS 43, Brown James Has Acknowledgment: Man slides from Derek Hoiem and Grauman&Leibe 2008 AAAI
More information1-1. Functions. Lesson 1-1. What You ll Learn. Active Vocabulary. Scan Lesson 1-1. Write two things that you already know about functions.
1-1 Functions What You ll Learn Scan Lesson 1- Write two things that ou alread know about functions. Lesson 1-1 Active Vocabular New Vocabular Write the definition net to each term. domain dependent variable
More informationTo Do. Computer Graphics (Fall 2004) Course Outline. Course Outline. Motivation. Motivation
Comuter Grahics (Fall 24) COMS 416, Lecture 3: ransformations 1 htt://www.cs.columbia.edu/~cs416 o Do Start (thinking about) assignment 1 Much of information ou need is in this lecture (slides) Ask A NOW
More information3D Geometry and Camera Calibration
3D Geometr and Camera Calibration 3D Coordinate Sstems Right-handed vs. left-handed 2D Coordinate Sstems ais up vs. ais down Origin at center vs. corner Will often write (u, v) for image coordinates v
More information3D Coordinates & Transformations
3D Coordinates & Transformations Prof. Aaron Lanterman (Based on slides b Prof. Hsien-Hsin Sean Lee) School of Electrical and Computer Engineering Georgia Institute of Technolog 3D graphics rendering pipeline
More informationGeometric Transformations Hearn & Baker Chapter 5. Some slides are taken from Robert Thomsons notes.
Geometric Tranformation Hearn & Baker Chapter 5 Some lie are taken from Robert Thomon note. OVERVIEW Two imenional tranformation Matri repreentation Invere tranformation Three imenional tranformation OpenGL
More informationCSCI-4530/6530 Advanced Computer Graphics
Luo Jr. CSCI-45/65 Advanced Computer Graphics http://www.cs.rpi.edu/~cutler/classes/advancedgraphics/s9/ Barb Cutler cutler@cs.rpi.edu MRC 9A Piar Animation Studios, 986 Topics for the Semester Mesh Simplification
More informationSection 9.3: Functions and their Graphs
Section 9.: Functions and their Graphs Graphs provide a wa of displaing, interpreting, and analzing data in a visual format. In man problems, we will consider two variables. Therefore, we will need to
More informationTHE INVERSE GRAPH. Finding the equation of the inverse. What is a function? LESSON
LESSON THE INVERSE GRAPH The reflection of a graph in the line = will be the graph of its inverse. f() f () The line = is drawn as the dotted line. Imagine folding the page along the dotted line, the two
More informationCS 428: Fall Introduction to. Viewing and projective transformations. Andrew Nealen, Rutgers, /23/2009 1
CS 428: Fall 29 Introduction to Computer Graphics Viewing and projective transformations Andrew Nealen, Rutgers, 29 9/23/29 Modeling and viewing transformations Canonical viewing volume Viewport transformation
More informationTransforms 1 Christian Miller CS Fall 2011
Transforms 1 Christian Miller CS 354 - Fall 2011 Transformations What happens if you multiply a square matrix and a vector together? You get a different vector with the same number of coordinates These
More informationMust first specify the type of projection desired. When use parallel projections? For technical drawings, etc. Specify the viewing parameters
walters@buffalo.edu CSE 480/580 Lecture 4 Slide 3-D Viewing Continued Eamples of 3-D Viewing Must first specif the tpe of projection desired When use parallel projections? For technical drawings, etc.
More informationIntroduction to Homogeneous Transformations & Robot Kinematics
Introduction to Homogeneous Transformations & Robot Kinematics Jennifer Ka, Rowan Universit Computer Science Department Januar 25. Drawing Dimensional Frames in 2 Dimensions We will be working in -D coordinates,
More informationChapter 3 : Computer Animation
Chapter 3 : Computer Animation Histor First animation films (Disne) 30 drawings / second animator in chief : ke frames others : secondar drawings Use the computer to interpolate? positions orientations
More informationMEM380 Applied Autonomous Robots Winter Robot Kinematics
MEM38 Applied Autonomous obots Winter obot Kinematics Coordinate Transformations Motivation Ultimatel, we are interested in the motion of the robot with respect to a global or inertial navigation frame
More information3D Viewing and Projec5on. Taking Pictures with a Real Camera. Steps: Graphics does the same thing for rendering an image for 3D geometric objects
3D Vieing and Projec5on Taking Pictures ith a Real Camera Steps: Iden5 interes5ng objects Rotate and translate the camera to desired viepoint Adjust camera seings such as ocal length Choose desired resolu5on
More informationCSCI-4530/6530 Advanced Computer Graphics
Luo Jr. CSCI-453/653 Advanced Computer Graphics http://www.cs.rpi.edu/~cutler/classes/advancedgraphics/s7/ Barb Cutler cutler@cs.rpi.edu MRC 33A Piar Animation Studios, 986 Topics for the Semester Meshes
More informationChap 7, 2009 Spring Yeong Gil Shin
Three-Dimensional i Viewingi Chap 7, 29 Spring Yeong Gil Shin Viewing i Pipeline H d fi i d? How to define a window? How to project onto the window? Rendering "Create a picture (in a snthetic camera) Specification
More information2D transformations: An introduction to the maths behind computer graphics
2D transformations: An introduction to the maths behind computer graphics Lecturer: Dr Dan Cornford d.cornford@aston.ac.uk http://wiki.aston.ac.uk/dancornford CS2150, Computer Graphics, Aston University,
More informationGEOMETRIC TRANSFORMATIONS AND VIEWING
GEOMETRIC TRANSFORMATIONS AND VIEWING 2D and 3D 1/44 2D TRANSFORMATIONS HOMOGENIZED Transformation Scaling Rotation Translation Matrix s x s y cosθ sinθ sinθ cosθ 1 dx 1 dy These 3 transformations are
More informationTransformations. Ed Angel Professor of Computer Science, Electrical and Computer Engineering, and Media Arts University of New Mexico
Transformations Ed Angel Professor of Computer Science, Electrical and Computer Engineering, and Media Arts University of New Mexico Angel: Interactive Computer Graphics 4E Addison-Wesley 25 1 Objectives
More informationTransformations III. Week 3, Mon Jan 18
Universit of British Columbia CPSC 34 Computer Graphics Jan-Apr 2 Tamara Munzner Transformations III Week 3, Mon Jan 8 http://www.ugrad.cs.ubc.ca/~cs34/vjan2 News CS dept announcements Undergraduate Summer
More information