ITK/Release 4/Enhancing Image Registration Framework: Difference between revisions
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* 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) | * Add feature based registration techniques (SIFT (patented?), SURF, etc) | ||
Revision as of 13:04, 7 September 2010
Enhancing Image Registration Framework
Goals
- Review v4 registration plans and progress.
- Catalog target use cases.
- Discuss strategies for integrating code from external contributors.
- Wishlist items beyond standard use cases, e.g. projective transforms.
http://ibia.umit.at/ResearchGroup/Phil/web/Simple2D3DRegistrationFramework.html
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)
Tcons
(Add one page for every tcon).
