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Figure shows what is done in the algorithm
above in a very loose and simplified form. A reference image, as shown
at the top stays unaffected, while all other images are manipulated
in the way described in Figure . These
are used to construct a model which then infers a certain complexity
measures, e.g. description length (as in Chapter ).
Based on that measures of complexity, subsequent warps are applied
to the group of images.
Figure:
Schematic of the current registration
algorithm. A reference image and the rest of the warped set form a
combined model which is evaluated in an MDL-like manner.
|
Figure:
Current algorithm at a lower
level. The idea of a reparameterisation is shown by emphasising that
images are formed by aggregation of the previous image with some parameterisation.
|
For a full corresponding notation and further explanation on the figures,
see the short presentation file at:
- http://www.danielsorogon.com/Webmaster/Research/Explanatory_Notes/2004/Group-wise_NRR_Strategy_and_Notation.pdf
It is certainly beyond the scope of this report and can be remitted.
However, some of the figures should be thought-inspiring. A brief
explanation of each has been included above for this reason.
Next: New Algorithms
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2004-08-02