ITK/Release 4/Enhancing Image Registration Framework: Difference between revisions
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* Catalog target use cases. | * Catalog target use cases. | ||
* Discuss | * Discuss design changes in core itk to support these enhancements. | ||
* Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform) | * Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform). | ||
= Discussions = | = Discussions = |
Revision as of 17:26, 7 September 2010
Enhancing Image Registration Framework
Goals
- Review v4 registration plans and progress.
- Catalog target use cases.
- Discuss design changes in core itk to support these enhancements.
- Wishlist items beyond standard use cases, e.g. projective transform (itkPerspective3DTransform).
Discussions
- Separate sampling and metric computation
- Separate computation of derivative components :
e.g. Maximize MI( I(x) , J(T(x)) ) by gradient methods:
\partial Metric / \partial Image \partial Image / \partial Transform \partial Transform / \partial x
- Add feature based registration techniques (SIFT (patented?), SURF, etc)
Refactoring of optimization framework
Tcons
(Add one page for every tcon).