[Insight-users] Transform

[Pandu Jugnu]

Hi Luis,

Thanks for your last email. It really helped clear my
doubts. I have one more question. 
I am trying to incorporate ScaleTransform along with
the QuaternionRigidTransform in MultiResMIRegistration
application so that I can take care of the scaling in
addition to tranlation and rotation. 
I went over the Doxygen files for ScaleTransform. But
I am not sure how to implement it along with
QuaternionRigidTransform in the application.

Can you guide me as how to accomplish this?

I appreciate your help Luis.
Thanks
Pandu
--- Luis Ibanez <luis.ibanez at kitware.com> wrote:

> 
> Hi Pandu,
> 
> This MultiResMIRegistration application uses a
> 
>           QuaternionRigidTransform
> 
> for performing the registration. The presence of
> the AffineTransform is required for converting
> the QuaternionRigidTransform into an Affine
> transform and returning it for being used elsewhere.
> 
> An Affine transform can represent a rigid transform
> without any lose of precision. In practice you can
> use the Affine transform as a 'generic' transform
> that can internally represt
> 
>      - Rotation transforms
>      - Scaling transforms
>      - Translation transforms
>      - Rigid transforms
>      - Similarity transforms
>      - Shearing transforms
>      - Reflection transforms
> 
> In this way, no matter which one of the above
> transforms
> in actually used for performing the registration,
> you could
> always return the results represented in an Affine
> transform.
> 
> 
> No reason to worry,
> Just continue enjoying your reading of the code.
> 
> 
> Please let us know if you have further questions.
> 
> 
> 
>    Thanks
> 
> 
>      Luis
> 
> 
> -----------------------
> Pandu Jugnu wrote:
> 
> > Hi Luis
> > 
> > I was going over the code for
> MultiResMIRegistration
> > application. I read in the guide that this
> application
> > uses "QuaternionRigidTransform" but I noticed the
> > presence of "Affine Transform" in the code too. 
> > Can you put some light on this as of why are we
> using
> > the Affine transform in this example.
> > 
> > Thanks in advance.
> > Pandu
> > 
> > 
> > 		
> 
> 
> 
> 
> 



		
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