<div dir="ltr">hi <div><br></div><div style>yes - it is possible within the v4 registration framework. </div><div style><br></div><div style><a href="http://www.itk.org/Doxygen/html/classitk_1_1ObjectToObjectOptimizerBase.html">http://www.itk.org/Doxygen/html/classitk_1_1ObjectToObjectOptimizerBase.html</a><br>
</div><div style><br></div><div style><a class="" href="http://www.itk.org/Doxygen/html/classitk_1_1ObjectToObjectOptimizerBase.html#abc8e029387fef0d851dbf8cb0ec075e0" style="color:rgb(70,101,162);font-weight:bold;font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px">SetWeights()</a><span style="color:rgb(0,0,0);font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px"> allows setting of a per-local-parameter weighting array. If unset, the weights are treated as identity. Weights are multiplied by the gradient at the same time scaling is applied. Weights are different than scales, and may be used, for example, to easily mask out a particular parameter during optimzation to hold it constant. Or they may be used to apply another kind of prior knowledge.</span><br>
</div><div style><span style="color:rgb(0,0,0);font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px"><br></span></div><div style><span style="color:rgb(0,0,0);font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px">there is an example in :</span></div>
<div style><span style="color:rgb(0,0,0);font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px"><br></span></div><div style>ITKv4/Modules/Numerics/Optimizersv4/test/itkGradientDescentOptimizerv4Test.cxx: itkOptimizer->SetWeights( weights );<span style="color:rgb(0,0,0);font-family:'Lucida Grande',Verdana,Geneva,Arial,sans-serif;font-size:12px;line-height:19px"><br>
</span></div></div><div class="gmail_extra"><br clear="all"><div><div><br></div>brian<br><div><br></div><div><br></div></div>
<br><br><div class="gmail_quote">On Mon, May 6, 2013 at 9:59 AM, parseval <span dir="ltr"><<a href="mailto:cabkai@web.de" target="_blank">cabkai@web.de</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Hello,<br>
<br>
does anybody know if it is possible to reduce the DOF or parameter search<br>
space for a given/knwon itk transformation or optimizer:<br>
<br>
For example I use a 3DEuler transformation and a gradient-descent optimizer<br>
but I don't want to search all 6 free parameters and lets say I want to<br>
ignore the translation in y direction. So actually I only search in 5 DOF.<br>
With the setScales I can weight the free parameters, but is there a<br>
different way to weight a free parameter with approx. "zero". (And of<br>
course if I really set the scale = 0, it crashs !)<br>
<br>
Is it possible with a simple trick, without writing a new transform class ?<br>
Many thanks and best regards,<br>
Parseval<br>
--> my first post. Please dont' hit me !<br>
<br>
<br>
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<br>
--<br>
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