Moti:<br><br>There isn't a Newton single valued optimizer in ITK. However there are quasi-newton single valued optimizers in VTK such as <br> itkConjugateGradientOptimizer <br> itkLBFGSBOptimizer<br><br>Newton optimizers are great to minimize quadratic objectives.... not so great work so great on noisy images. .
<br><br><br>-- <br>Karthik Krishnan<br>R&D Engineer,<br>Kitware Inc.<br>Ph: 518 371 3971 x119<br>Fax: 518 371 3971<br><br><div><span class="gmail_quote">On 10/31/07, <b class="gmail_sendername">Moti Freiman</b> <<a href="mailto:freiman@cs.huji.ac.il">
freiman@cs.huji.ac.il</a>> wrote:</span><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><div><br clear="all">Hi All,</div>
<div>I'm searching for optimizer to my registration application.</div>
<div>Since gradient decent based algorithms in itk don't take into account the second order infromation (hessian), I assume that they tend to use more iterations than newton like methods, include the levenberg marquadet optimizer.
</div>
<div>However I did not find an Newton like optimizer that can optimize a single value cost function (like NCC). Any ideas?</div>
<div>Is there any reason that the levenberg marquaedt designed just for multiple value cost function?</div>
<div>Thanks,</div>
<div>Moti<br>-- <br>__<br>Moti Freiman, Ph.D Student.<br>Medical Image Processing and Computer-Assisted Surgery Laboratory.<br>School of Computer Science and Engineering.<br>The Hebrew University of Jerusalem Givat Ram, Jerusalem 91904, Israel
<br>Phone: +(972)-2-658-5371 (laboratory)<br>WWW site: <a href="http://www.cs.huji.ac.il/%7Efreiman" target="_blank" onclick="return top.js.OpenExtLink(window,event,this)">http://www.cs.huji.ac.il/~freiman</a> </div>
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