Revision as of 20:16, 8 August 2008

Wish List

Support ND oriented images
- Using anything other than 3D images won't compile
Support ND image in N+1 dimension
- 2D image can have an origin specified in 3D, thus a series of 2D images is not always Z-aligned
All images are oriented - remove concept of an un-oriented image
Check use of orientation throughout ITK
- Spatial Objects
- Meshes
Suggestions
- ITK_Release_4.0_Orientation_by_Torsten

Allow the use of strides that are not equal to the image width
- Would ease the collaboration of ITK with opencv
- Would allow the use of sse operations
- Might be redundant with correct use of image regions

Set up the infrastructure to ease the implementation of modern optimization schemes for image registration
- Requires Hessian or pseudo-Hessians of the cost function
- Requires several types of update rules (additive, compositional, inverse compositional, etc.)
- References: "Lucas-Kanade 20 years on" by Baker et al.; "Homography-based 2D Visual Tracking and Servoing" by Benhimane and Malis, "Groupwise Geometric and Photometric Direct Image Registration" by Bartoli; etc.
Clean up the use of parameter scaling in the optimizers
- One possibility would be that the optimizers only perform unscaled minimization. It would then be up to a cost function wrapper to do the rescaling and potentially return the opposite of the cost function. This is similar to how vnl optimizers are used in ITK
Optimizers should return the best visited value
- See Bug 3205

Define a composite transform which can contain any number of transforms, composed.
Only expose the parameters of the last transform for optimization (default)
Used in multivariate atlas formation (DTI reg with T1 reg with atlas)

@@ Line 11: / Line 11: @@
 ** Meshes
 * Suggestions
-** [ITK_Release_4.0_Orientation_by_Torsten]
+** [[ITK_Release_4.0_Orientation_by_Torsten]]
 == Image Representation ==