Title: Geometric Image Transformations and Image Morphing
1Geometric Image Transformations and Image Morphing
2Geometric Transforms Euclidean Transforms
y
y
T
x
x
Translation Rotation
3Mathematical representation of Euclidean Transform
Translation (T)
Rotation (R)
4- Properties of Euclidean Transforms
- Preserve distances
- Preserve angles
Homogeneous form
5Geometric Transforms Affine Transforms
y
y
T
x
x
Euclidean Transform reflection, scaling,
shearing
6Example affine transform
7Mathematical representation
6 parameters
Affine properties Preserve parallel lines
8Geometric Transforms Projective Transforms
Projection the mapping of points from N-D space
to M-D subspace. (MltN)
There are only 8 free-parameters. Why?
9Mathematical representation
Which can be expressed as the following rational
linear equation
10Relation of the geometric transforms
11Application
- 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?
12Geometrically transform image ( with
Interpolation techniques)
13How 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?
14Affine transform has 6 parameters. 3 pair of
points gt 6 equations.
15How about projective transform? 8 parameters
need 4 pairs of corresponding pixels.
16Image 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.
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