Computer graphics basic transformation

Computer graphics basic transformation

• 1.
  2D Geometric Transformations Topic –I : Basic Transformation
• 2.
  Basic Transformation • Wecan reposition and resize two-dimensional objects by applying : – Translation – Rotation – Scaling
• 3.
  Translation • A translationis applied to an object by repositioning it along a straight-line path from one coordinate location to another. • To translate a two-dimensional point by adding translation distances, tx and ty, to the original coordinate position (x, y) to move the point to a new position (x', y'). x' = x + tx, y' = y + ty • pair (tx, ty) is translation vector or shift vector.
• 4.
  X Y P P' T Translation (cont.) • Wecan express the translation equations as a single matrix equation by using column vectors to represent coordinate positions and the translation vector : • Also: P' = P + T                    y x t t y' x' ', y x TPP
• 5.
  Rotation • A two-dimensionrotation is applied to an object by repositioning it along a circular path in the xy plane. • To generate a rotation, we specify a rotation angle θ and the position (xr, yr) of the rotation point (or pivot point) about which the object is to be rotated. • Positive values for the rotation angle define counterclockwise rotations about the pivot point. • Negative values rotate objects in the clock direction.
• 6.
  Rotation (cont.) • Theoriginal coordinates of the point in polar coordinates are : x = r cos φ, y = r sin φ • We can express the transformed coordinates in terms of angles θ and φ as: x' = r cos (φ + θ) = r cos φ cos θ - r sin φ sin θ y' = r cos (φ + θ) = r cos φ sin θ + r sin φ cos θ • Then x' = x cos θ - y sin θ; y' = x sin θ + y cos θ (OR) P' = R * P, where         θθ θθ cossin sincos R
• 7.
  Scaling • A scalingtransformation alters the size of an objects. • This operation can be carried out for polygons by multiplying the coordinate values (x, y) of each vertex by scaling factors sx and sy to produce the transformed coordinates (x', y'): x' = x * sx, y' = y * sy • Scaling factor sx scales objects in the x direction, and sy in the y direction.
• 8.
  Scaling (cont.) • Anypositive numeric values can assigned to the scaling factor sx and sy. • Values <1, reduce the size of object. • Values >1, enlarge the size of object. • Both values =1, unchanged size. • When sx and sy are assigned the same value, it is uniform scaling. • Unequal values for sx and sy is, differential scaling.
• 9.
  2D Geometric Transformations Topic –II : Matrix Representation & Homogeneous Coordinates
• 10.
  Matrix Representation & HomogeneousCoordinates • The basic transformations can be expressed in the general matrix form: – With coordinate positions P and P' represented as column vector. – M1 is a 2x2 array matrix containing multiplicative factor, – M2 is two-element column matrix containing translational terms. – For translation, M1 is the identity matrix. – For rotation or scaling, M2 contains the translational terms associated with the pivot point or scaling fixed point. 21' MPMP 
• 11.
  Cont. • It producea sequence of transformations with equation, such as scaling followed by rotation then translation. • A more efficient approach would be to combine the transformations so that the final coordinate position are obtained directly from the initial coordinates. It eliminates intermediate coordinates. • We can combine the multiplicate and translational terms for 2D geometric transformations into a single matrix representation by expanding 2x2 matrix to 3x3.
• 12.
  Cont. • To expressany 2D transformation as a matrix multiplication, we represent each Cartesian coordinate position (x, y) with the homogeneous coordinate triple (xh, yh, h). • Can also be written as (h.x, h.y, h). – h to be any nonzero value. – There is infinite number of equivalent homogeneous representations for each coordinate point (x, y). – A convenient choice is simply to set h=1. then, homogeneous coordinates (x, y, 1). h y y, h x x hh 
• 13.
  Cont. • Expressing positionsin homogeneous coordinates allow us to represent all geometric transformation equations as matrix multiplications. • Coordinates are represented with three-element column vector, and transformation operations are written as 3x3 matrices.
• 14.
  For Translation • Theinverse of the translation matrix is obtained by replacing the translation parameters tx and ty with –tx and –ty. PttTP OR y x t t y x yx y x                                  ),(' )( 1100 10 01 1 1 1 
• 15.
  For Rotation • Theinverse of the rotation matrix θ is replaced by – θ. PRP OR y x y x                                   )(' )( 1100 0cossin 0sincos 1 1 1    
• 16.
  For Scaling • Theinverse scaling matrix is replacing sx and sy by 1/sx and 1/sy. PssSP OR y x s s y x yx y x                                  ),(' )( 1100 00 00 1 1 1 