Download presentation

1
**Computer Graphics - Transformation -**

Hanyang University Jong-Il Park

2
**Objectives Introduce standard transformations**

Rotation Translation Scaling Shear Derive homogeneous coordinate transformation matrices Learn to build arbitrary transformation matrices from simple transformations Learn how to carry out transformations in OpenGL Introduce OpenGL matrix modes Model-view Projection

3
**General Transformations**

A transformation maps points to other points and/or vectors to other vectors v=T(u) Q=T(P)

4
**Affine Transformations**

Line preserving Characteristic of many physically important transformations Rigid body transformations: rotation, translation Scaling, shear Importance in graphics is that we need only transform endpoints of line segments and let implementation draw line segment between the transformed endpoints

5
**Pipeline Implementation**

(from application program) T u T(u) frame buffer transformation rasterizer v T(v) T(v) T(v) v T(u) u T(u) vertices vertices pixels

6
Notation We will be working with both coordinate-free representations of transformations and representations within a particular frame P,Q, R: points in an affine space u, v, w: vectors in an affine space a, b, g: scalars p, q, r: representations of points -array of 4 scalars in homogeneous coordinates u, v, w: representations of points

7
**Translation Move (translate, displace) a point to a new location**

Displacement determined by a vector d Three degrees of freedom P’=P+d P’ d P

8
How many ways? Although we can move a point to a new location in infinite ways, when we move many points there is usually only one way object translation: every point displaced by same vector

9
**Translation Using Representations**

Using the homogeneous coordinate representation in some frame p=[ x y z 1]T p’=[x’ y’ z’ 1]T d=[dx dy dz 0]T Hence p’ = p + d or x’=x+dx y’=y+dy z’=z+dz note that this expression is in four dimensions and expresses point = vector + point

10
Translation Matrix We can also express translation using a 4 x 4 matrix T in homogeneous coordinates p’=Tp where T = T(dx, dy, dz) = This form is better for implementation because all affine transformations can be expressed this way and multiple transformations can be concatenated together

11
**Rotation (2D) Consider rotation about the origin by q degrees**

radius stays the same, angle increases by q x’ = r cos (f + q) y’ = r sin (f + q) x’=x cos q –y sin q y’ = x sin q + y cos q x = r cos f y = r sin f

12
**Rotation about the z axis**

Rotation about z axis in three dimensions leaves all points with the same z Equivalent to rotation in two dimensions in planes of constant z or in homogeneous coordinates p’=Rz(q)p x’=x cos q –y sin q y’ = x sin q + y cos q z’ =z

13
Rotation Matrix R = Rz(q) =

14
**Rotation about x and y axes**

Same argument as for rotation about z axis For rotation about x axis, x is unchanged For rotation about y axis, y is unchanged R = Rx(q) = R = Ry(q) =

15
**Non-rigid-body Transformations**

16
Scaling Expand or contract along each axis (fixed point of origin) x’=sxx y’=syx z’=szx p’=Sp S = S(sx, sy, sz) =

17
**Reflection corresponds to negative scale factors sx = -1 sy = 1**

original sx = -1 sy = -1 sx = 1 sy = -1

18
**Inverses Scaling: S-1(sx, sy, sz) = S(1/sx, 1/sy, 1/sz)**

Although we could compute inverse matrices by general formulas, we can use simple geometric observations Translation: T-1(dx, dy, dz) = T(-dx, -dy, -dz) Rotation: R -1(q) = R(-q) Holds for any rotation matrix Note that since cos(-q) = cos(q) and sin(-q)=-sin(q) R -1(q) = R T(q) Scaling: S-1(sx, sy, sz) = S(1/sx, 1/sy, 1/sz)

19
**Linear Transformations**

x' = Ax + By + Cz + D y' = Ex + Fy + Gz + H z' = Ix + Jy + Kz + L Transform the geometry – leave the topology as is

20
Geometry vs. Topology

21
Transformations in H.C.

22
Identity Matrix

23
Matrix Inverse

24
Translation

25
2D Rotation

26
3D Rotation about Z

27
3D Rotation about X & Y About X About Y

28
Concatenation We can form arbitrary affine transformation matrices by multiplying together rotation, translation, and scaling matrices Because the same transformation is applied to many vertices, the cost of forming a matrix M=ABCD is not significant compared to the cost of computing Mp for many vertices p The difficult part is how to form a desired transformation from the specifications in the application

29
**Order of Transformations**

Note that matrix on the right is the first applied Mathematically, the following are equivalent p’ = ABCp = A(B(Cp)) Note many references use column matrices to represent points. In terms of column matrices p’T = pTCTBTAT

30
**General Rotation About the Origin**

A rotation by q about an arbitrary axis can be decomposed into the concatenation of rotations about the x, y, and z axes R(q) = Rz(qz) Ry(qy) Rx(qx) y qx qy qz are called the Euler angles v q Note that rotations do not commute We can use rotations in another order but with different angles x z

31
General Rotation Read Sect

32
**Rotation About a Fixed Point other than the Origin**

1. Move fixed point to origin 2. Rotate 3. Move fixed point back M = T(pf) R(q) T(-pf)

33
**Instancing Scale Orient Locate**

In modeling, we often start with a simple object centered at the origin, oriented with the axis, and at a standard size We apply an instance transformation to its vertices to Scale Orient Locate

34
**Shear Helpful to add one more basic transformation**

Equivalent to pulling faces in opposite directions

35
**Shear Matrix x’ = x + y cot q y’ = y z’ = z H(q) =**

Consider simple shear along x axis x’ = x + y cot q y’ = y z’ = z H(q) =

36
**Matrix Multiplication Is NOT Commutative**

37
**Combining Translations, Rotations**

38
**Combining Translations, Rotations**

39
**Matrix Multiplication Is Associative**

40
**Transformation Game transformation_game.jar**

41
**OpenGL Matrices In OpenGL matrices are part of the state**

Multiple types Model-View (GL_MODELVIEW) Projection (GL_PROJECTION) Texture (GL_TEXTURE) (ignore for now) Color(GL_COLOR) (ignore for now) Single set of functions for manipulation Select which to be manipulated by glMatrixMode(GL_MODELVIEW); glMatrixMode(GL_PROJECTION);

42
**Current Transformation Matrix (CTM)**

Conceptually there is a 4 x 4 homogeneous coordinate matrix, the current transformation matrix (CTM) that is part of the state and is applied to all vertices that pass down the pipeline The CTM is defined in the user program and loaded into a transformation unit C p p’=Cp vertices CTM vertices

43
**Concatenation of Transformations**

44
**Hardware can do this very quickly!**

45
CTM operations The CTM can be altered either by loading a new CTM or by postmutiplication Load an identity matrix: C I Load an arbitrary matrix: C M Load a translation matrix: C T Load a rotation matrix: C R Load a scaling matrix: C S Postmultiply by an arbitrary matrix: C CM Postmultiply by a translation matrix: C CT Postmultiply by a rotation matrix: C C R Postmultiply by a scaling matrix: C C S

46
**Rotation about a Fixed Point**

Start with identity matrix: C I Move fixed point to origin: C CT Rotate: C CR Move fixed point back: C CT -1 Result: C = TR T –1 which is backwards. This result is a consequence of doing postmultiplications. Let’s try again.

47
**Reversing the Order We want C = T –1 R T**

so we must do the operations in the following order C I C CT -1 C CR C CT Each operation corresponds to one function call in the program. Note that the last operation specified is the first executed in the program

48
CTM in OpenGL OpenGL has a model-view and a projection matrix in the pipeline which are concatenated together to form the CTM Can manipulate each by first setting the correct matrix mode

49
**Rotation, Translation, Scaling**

Load an identity matrix: glLoadIdentity() Multiply on right: glRotatef(theta, vx, vy, vz) theta in degrees, (vx, vy, vz) define axis of rotation glTranslatef(dx, dy, dz) glScalef( sx, sy, sz) Each has a float (f) and double (d) format (glScaled)

50
Example Rotation about z axis by 30 degrees with a fixed point of (1.0, 2.0, 3.0) Remember that last matrix specified in the program is the first applied glMatrixMode(GL_MODELVIEW); glLoadIdentity(); glTranslatef(1.0, 2.0, 3.0); glRotatef(30.0, 0.0, 0.0, 1.0); glTranslatef(-1.0, -2.0, -3.0);

51
**Compound Transformation**

52
Arbitrary Matrices Can load and multiply by matrices defined in the application program The matrix m is a one dimension array of 16 elements which are the components of the desired 4 x 4 matrix stored by columns In glMultMatrixf, m multiplies the existing matrix on the right glLoadMatrixf(m) glMultMatrixf(m)

53
**Matrix Stacks glPushMatrix() glPopMatrix()**

In many situations we want to save transformation matrices for use later Traversing hierarchical data structures (Chapter 10) Avoiding state changes when executing display lists OpenGL maintains stacks for each type of matrix Access present type (as set by glMatrixMode) by glPushMatrix() glPopMatrix()

54
Reading Back Matrices Can also access matrices (and other parts of the state) by query functions For matrices, we use as glGetIntegerv glGetFloatv glGetBooleanv glGetDoublev glIsEnabled double m[16]; glGetFloatv(GL_MODELVIEW, m);

55
**Using Transformations**

Example: use idle function to rotate a cube and mouse function to change direction of rotation Start with a program that draws a cube (colorcube.c) in a standard way Centered at origin Sides aligned with axes

56
**main.c void main(int argc, char **argv) { glutInit(&argc, argv);**

glutInitDisplayMode(GLUT_DOUBLE | GLUT_RGB | GLUT_DEPTH); glutInitWindowSize(500, 500); glutCreateWindow("colorcube"); glutReshapeFunc(myReshape); glutDisplayFunc(display); glutIdleFunc(spinCube); glutMouseFunc(mouse); glEnable(GL_DEPTH_TEST); glutMainLoop(); }

57
**Idle and Mouse callbacks**

void spinCube() { theta[axis] += 2.0; if( theta[axis] > ) theta[axis] -= 360.0; glutPostRedisplay(); } void mouse(int btn, int state, int x, int y) { if(btn==GLUT_LEFT_BUTTON && state == GLUT_DOWN) axis = 0; if(btn==GLUT_MIDDLE_BUTTON && state == GLUT_DOWN) axis = 1; if(btn==GLUT_RIGHT_BUTTON && state == GLUT_DOWN) axis = 2; }

58
**Display callback void display() {**

glClear(GL_COLOR_BUFFER_BIT | GL_DEPTH_BUFFER_BIT); glLoadIdentity(); glRotatef(theta[0], 1.0, 0.0, 0.0); glRotatef(theta[1], 0.0, 1.0, 0.0); glRotatef(theta[2], 0.0, 0.0, 1.0); colorcube(); glutSwapBuffers(); } Note that because of fixed form of callbacks, variables such as theta and axis must be defined as globals Camera information is in standard reshape callback

59
**Using the Model-view Matrix**

In OpenGL the model-view matrix is used to Position the camera Can be done by rotations and translations but is often easier to use gluLookAt Build models of objects The projection matrix is used to define the view volume and to select a camera lens

60
**Model-view and Projection Matrices**

Although both are manipulated by the same functions, we have to be careful because incremental changes are always made by postmultiplication For example, rotating model-view and projection matrices by the same matrix are not equivalent operations. Postmultiplication of the model-view matrix is equivalent to premultiplication of the projection matrix

61
Smooth Rotation From a practical standpoint, we are often want to use transformations to move and reorient an object smoothly Problem: find a sequence of model-view matrices M0,M1,…..,Mn so that when they are applied successively to one or more objects we see a smooth transition For orientating an object, we can use the fact that every rotation corresponds to part of a great circle on a sphere Find the axis of rotation and angle Virtual trackball (see text)

62
**Incremental Rotation Consider the two approaches**

For a sequence of rotation matrices R0,R1,…..,Rn , find the Euler angles for each and use Ri= Riz Riy Rix Not very efficient Use the final positions to determine the axis and angle of rotation, then increment only the angle Quaternions can be more efficient than either

63
Quaternions Extension of imaginary numbers from two to three dimensions Requires one real and three imaginary components i, j, k Quaternions can express rotations on sphere smoothly and efficiently. Process: Model-view matrix quaternion Carry out operations with quaternions Quaternion Model-view matrix q=q0+q1i+q2j+q3k

64
Interfaces One of the major problems in interactive computer graphics is how to use two-dimensional devices such as a mouse to interface with three dimensional objects Example: how to form an instance matrix? Some alternatives Virtual trackball 3D input devices such as the spaceball Use areas of the screen Distance from center controls angle, position, scale depending on mouse button depressed

Similar presentations

Presentation is loading. Please wait....

OK

Computer Graphics 2D & 3D Transformation.

Computer Graphics 2D & 3D Transformation.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google

Ppt on motion for class 9 free download Ppt on renewable energy sources in india Ppt on different types of dance forms productions Download ppt on turbo generators Ppt on community health and environment Ppt on boiler used in sugar factory Mba ppt on body language Ppt on different solid figures names Ppt on aerobics and fitness Ppt on disk formatting types