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Computer Graphics: 2D Transformations Kocaeli Universitesity Computer Engineering Department Fall

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Geometric Transformation What is geometric transformation? Operations that are applied to the geometric description of an object to change its position, orientation, or size are called geometric transformations 2

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3 2D Transformations x y x y x y

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4 x y x y x y Applications: - Animation - Image/object manipulation - Viewing transformation - etc.

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5 2D Transformation Given a 2D object, transformation is to change the objects – Position (translation) – Size (scaling) – Orientation (rotation) – Shapes (shear) Apply a sequence of matrix multiplications to the object vertices

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6 Point Representation We can use a column vector (a 2x1 matrix) to represent a 2D point x y A general form of linear transformation can be written as: x = ax + by + c OR y = dx + ey + f X a b c x Y = d e f * y

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7 Translation Re-position a point along a straight line Given a point (x,y), and the translation distance (tx,ty) The new point: (x, y) x = x + tx y = y + ty (x,y) OR P = P + T where P = x p = x T = tx y y ty tx ty

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8 Translation How to translate an object with multiple vertices? Translate individual vertices

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9 2D Rotation Default rotation center: Origin (0,0) Rotate counter clockwise Rotate clockwise

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10 (x,y) (x,y) -> Rotate about the origin by (x, y) How to compute (x, y) ? r 2D Rotation

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11 (x,y) (x,y) -> Rotate about the origin by (x, y) How to compute (x, y) ? x = r cos ( ) y = r sin ( ) r 2D Rotation

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12 2D Rotation (x,y) r x = r cos ( ) y = r sin ( ) x = r cos ( ) = r cos( ) cos( ) – r sin( ) sin( ) = x cos( ) – y sin( ) y = r sin ( ) = r sin( ) cos( ) + r cos( )sin( ) = y cos( ) + x sin( )

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13 2D Rotation (x,y) r x = x cos( ) – y sin( ) y = y cos( ) + x sin( ) Matrix form? x cos( ) -sin( ) x y sin( ) cos( ) y =

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14 How to rotate an object with multiple vertices? Rotate individual Vertices 2D Rotation

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15 2D Scaling Scale: Alter the size of an object by a scaling factor (Sx, Sy), i.e. x = x. Sx y = y. Sy x Sx 0 x y 0 Sy y = (1,1) (2,2) Sx = 2, Sy = 2 (2,2) (4,4)

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16 2D Scaling (1,1) (2,2) Sx = 2, Sy = 2 (2,2) (4,4) Not only the object size is changed, it also moved!! Usually this is an undesirable effect We will discuss later (soon) how to fix it

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Scaling facts 17

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18 Put it all together Translation: Rotation: Scaling:

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Homogeneous Coordinates -1 It is well known that many application involves sequences of geometric transformations For example, an animation might require an object to be translated, rotated and scaled at each increment of the motion If you want to first rotates an object, then scales it, you can combine those two transformation to a composite transformation like the following equation 19

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Homogeneous Coordinates -2 However, it will be difficult to deal with the above composite transformation and translation together. Because, translation is not 2 by 2 matrix representation Consider how the matrix representations discussed in the previous sections can be reformulated so that such transformation sequences can be efficiently processed 20

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Homogeneous Coordinates -3 A standard technique for expanding each two-dimensional coordinate position representation (x, y) to three-element representation, called Homogeneous Coordinates, where homogeneous h is a nonzero value such that 21 A convenient choice is simply to set h=1, so each two- dimensional position is then represented with homogeneous coordinate (x,y,1).

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22 Or, 3x3 Matrix Representations Translation: Rotation: Scaling: x 1 0 tx x y = 0 1 ty * y x cos( ) -sin( ) 0 x y sin( ) cos( ) 0 * y = x Sx 0 0 x y = 0 Sy 0 * y Why use 3x3 matrices?

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23 Why Use 3x3 Matrices? So that we can perform all transformations using matrix/vector multiplications This allows us to pre-multiply all the matrices together The point (x,y) needs to be represented as (x,y,1) -> this is called Homogeneous coordinates! How to represent a vector (v x,v y )?

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24 Composing Transformation Composing Transformation – the process of applying several transformation in succession to form one overall transformation If we apply transforming a point P using M1 matrix first, and then transforming using M2, and then M3, then we have: (M3 x (M2 x (M1 x P )))

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25 Composing Transformation Composing Transformation – the process of applying several transformation in succession to form one overall transformation If we apply transforming a point P using M1 matrix first, and then transforming using M2, and then M3, then we have: (M3 x (M2 x (M1 x P ))) = M3 x M2 x M1 x P M (pre-multiply)

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26 Composing Transformation Matrix multiplication is associative M3 x M2 x M1 = (M3 x M2) x M1 = M3 x (M2 x M1) Transformation products may not be commutative A x B != B x A Some cases where A x B = B x A A B translation translation scaling scaling rotation rotation uniform scaling rotation (sx = sy) translation rotation?

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Example1: General Two- Dimensional Pivot-Point Rotation So we can generate a 2D rotation about any other pivot point (x, y) by performing the following sequence of translate-rotate-translate operations 27 (x r,y r )

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Example1 (Cont) 1.Translate the object so that the pivot-point position is moved to the coordinate origin 2.Rotate the object about the coordinate origin 3.Translate the object so that the pivot point is returned to its original position 28

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Example2: Scaling without translation 1.Translate the object to so that the fixed point coincides with the coordinate origin 2.Scale the object with respect to the coordinate origin 3.Use the inverse of the translation in step (1) to return the object to its original position 29

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Example2 (Cont) 30 (x r,y r ) TranslateScaleTranslate

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Some Other Transformations Shearing and Reflections 31

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32 Shearing Y coordinates are unaffected, but x coordinates are translated linearly with y That is: – y = y – x = x + y * h x 1 h 0 x y = * y

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33 x x y = g 1 0 * y Shearing will not change the area of the object Interesting Facts: Shearing in Y

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34 Reflection

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35 Reflection

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36 Reflection

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37 Reflection about X-axis

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38 Reflection about X-axis x x y = * y

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39 Reflection about Y-axis

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40 Reflection about Y-axis x x y = * y

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41 Whats the Transformation Matrix?

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42 Whats the Transformation Matrix? x x y = * y

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More about reflection? Reflection about y=x Reflection about y=-x 43

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44 The standard rotation matrix is used to rotate about the origin (0,0) cos( ) -sin( ) 0 sin( ) cos( ) What if I want to rotate about an arbitrary center? Rotation Revisit

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45 Arbitrary Rotation Center To rotate about an arbitrary point P (px,py) by : (px,py)

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46 Arbitrary Rotation Center To rotate about an arbitrary point P (px,py) by : – Translate the object so that P will coincide with the origin: T(-px, -py) (px,py)

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47 Arbitrary Rotation Center To rotate about an arbitrary point P (px,py) by : – Translate the object so that P will coincide with the origin: T(-px, -py) – Rotate the object: R( ) (px,py)

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48 Arbitrary Rotation Center To rotate about an arbitrary point P (px,py) by : – Translate the object so that P will coincide with the origin: T(-px, -py) – Rotate the object: R( ) – Translate the object back: T(px,py) (px,py)

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49 Translate the object so that P will coincide with the origin: T(-px, -py) Rotate the object: R( ) Translate the object back: T(px,py) Put in matrix form: T(px,py) R( ) T(-px, -py) * P x 1 0 px cos( ) -sin( ) px x y = 0 1 py sin( ) cos( ) py y Arbitrary Rotation Center

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50 The standard scaling matrix will only anchor at (0,0) Sx Sy What if I want to scale about an arbitrary pivot point? Scaling Revisit

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51 To scale about an arbitrary fixed point P (px,py): (px,py) Arbitrary Scaling Pivot

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52 To scale about an arbitrary fixed point P (px,py): Translate the object so that P will coincide with the origin: T(-px, -py) (px,py) Arbitrary Scaling Pivot

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53 To scale about an arbitrary fixed point P (px,py): Translate the object so that P will coincide with the origin: T(-px, -py) Scale the object: S(sx, sy) (px,py) Arbitrary Scaling Pivot

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54 To scale about an arbitrary fixed point P (px,py): Translate the object so that P will coincide with the origin: T(-px, -py) Scale the object: S(sx, sy) Translate the object back: T(px,py) (px,py) Arbitrary Scaling Pivot

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