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Geometric Image Transformations and Image Morphing

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For affine transform, how may pairs of corresponding pixels do we need to ... Affine transform has 6 parameters. 3 pair of points = 6 equations. ... – PowerPoint PPT presentation

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Title: Geometric Image Transformations and Image Morphing


1
Geometric Image Transformations and Image Morphing
2
Geometric Transforms Euclidean Transforms
y
y
T
x
x
Translation Rotation
3
Mathematical representation of Euclidean Transform
Translation (T)
Rotation (R)
4
  • Properties of Euclidean Transforms
  • Preserve distances
  • Preserve angles

Homogeneous form
5
Geometric Transforms Affine Transforms
y
y
T
x
x
Euclidean Transform reflection, scaling,
shearing
6
Example affine transform
7
Mathematical representation
6 parameters
Affine properties Preserve parallel lines
8
Geometric Transforms Projective Transforms
Projection the mapping of points from N-D space
to M-D subspace. (MltN)
There are only 8 free-parameters. Why?
9
Mathematical representation
Which can be expressed as the following rational
linear equation
10
Relation of the geometric transforms
11
Application
  • Given the input image I and geometric transform
    T, how to generate the output image?
  • Given the input image I and geometrically
    transformed image I , how to calculate the
    transform T?
  • Given the geometrically transformed image I and
    the transform T, how to restore the original
    image?

12
Geometrically transform image ( with
Interpolation techniques)
13
How to estimate the geometric transform
parameters?
Known input image, output image
Unknown Geometric transform T
For affine transform, how may pairs of
corresponding pixels do we need to determine the
geometric transform?
14
Affine transform has 6 parameters. 3 pair of
points gt 6 equations.
15
How about projective transform? 8 parameters
need 4 pairs of corresponding pixels.
16
Image Warping
Image warping using control points (tiepoints)
Geometric distorted image using NN interpolation
and restored result.
Geometric distorted image using bilinear
interpolation and restored result.
17
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