<br>Hi Ruisheng,<br><br>Unfortunately we don't have specific examples for this<br>configuration of registration (Lidar-to-Image) in the <br>ITK source tree.<br><br>However,<br><br>You may find useful to look at the code of the test:<br>
<br> Insight/Testing/Code/Algorithms/<br> itkPointSetToImageRegistrationTest_1.cxx<br><br><br> Regards,<br><br><br> Luis<br><br><br>-----------------------------------------------------------------------------<br>
<div class="gmail_quote">On Mon, Apr 12, 2010 at 3:26 PM, ruisheng wang <span dir="ltr"><<a href="mailto:ruisheng@cim.mcgill.ca">ruisheng@cim.mcgill.ca</a>></span> wrote:<br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hi Luis,<br><div class="im"><br>Thank you very much for your replies. Do you have an example code showing the process of Lidar-to-Image registration using<br>Mutual informaiton. I could not find examples for doing this. In the ITK document, there is not an example showing<br>
PointSetToimageRegistration, do you have an example code showing how to use PointSetToImageregistration?<br><br>thanks a lot!<br></div>Ruisheng<br>\<br><br><br><br><div class="gmail_quote"><div class="im">On Sat, Apr 3, 2010 at 5:33 PM, Luis Ibanez <span dir="ltr"><<a href="mailto:luis.ibanez@kitware.com" target="_blank">luis.ibanez@kitware.com</a>></span> wrote:<br>
</div><div><div></div><div class="h5"><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">Hi Ruisheng,<br>
<br>
In order to use this class effectively, you should<br>
first become very familiar with the ITK Registration<br>
Framework.<br>
<br>
Please read the ITK Software Guide:<br>
<br>
<a href="http://www.itk.org/ItkSoftwareGuide.pdf" target="_blank">http://www.itk.org/ItkSoftwareGuide.pdf</a><br>
<br>
In particular the Chapter 8 "Image Registration"<br>
in pdf-pages: 347-533.<br>
<br>
<br>
Once you are familiar with the framework,<br>
you may want use the following configuration:<br>
<br>
<br>
1) Use the PointSetToImageRegistration class<br>
<br>
2) Use the itkPointSetToImageMetric class<br>
<br>
3) Use the perspective transform<br>
<br>
4) Start with an optimizer that does not require<br>
derivatives (e.g. the Amoeba optimizer).<br>
<br>
<br>
Key factors for a successful registration are:<br>
<br>
A) Good initialization of the Transform<br>
<br>
B) Steady setup for the optimizer parameters<br>
<br>
C) Proper scaling of the Transform parameters.<br>
<br>
In your case, please note that (A) includes to<br>
make a very good initialization for the center<br>
of projection and the focal distance, and that<br>
(B) means that you should start with optimizer<br>
settings that barely modify the Transform, and<br>
from them you can progress towards having<br>
the Transform explore a wider range of<br>
parameters.<br>
<br>
<br>
Regards,<br>
<br>
<br>
Luis<br>
<br>
<br>
-----------------------------------------------------------------------<br>
<div><div></div><div>On Fri, Apr 2, 2010 at 3:11 PM, ruisheng wang <<a href="mailto:ruisheng@cim.mcgill.ca" target="_blank">ruisheng@cim.mcgill.ca</a>> wrote:<br>
> Hi everyone,<br>
><br>
> I'm trying to register 3D lidar with 2D optical images using the transform<br>
> ITK::Rigid3DPerspectiveTransform.<br>
> But seems there is not much explanation or examples from ITK to describe the<br>
> this functions. I wonder if<br>
> anyone here could give me some hints for how to use<br>
> ITK::Rigid3DPerspectiveTransform for the 3D-to2D registration<br>
> problems.<br>
><br>
> Thanks very much!<br>
> Ruisheng<br>
><br>
><br>
</div></div>> _____________________________________<br>
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