Hi Tony,<br><br>No this will not make the registration any faster. <br>The PointSetToImageMetric is evaluated at every point in your point set, which is why the point set is given the fixed connotation. <br><br>When you say your registration is slow, is it that each evaluation (each iteration) of the metric is slow or is it that its slow cause its running for too many iterations. If its the latter, you may want to look into why your optimizer is taking that long to converge.
<br><br>--<br>karthik<br><br><div><span class="gmail_quote">On 3/11/07, <b class="gmail_sendername">tony hakki</b> <<a href="mailto:tony2007vtk@yahoo.com">tony2007vtk@yahoo.com</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;">
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<div>Hi dear ITK user's ;</div>
<div>I really need an urgent reply. it will be appreciated .</div>
<div> I have two datasets one of STL data (point set) and the other is .raw data. I would like to implement a registration. For this purpose itkpointsettoimageregistration is suitable for this; but STL data is selected as a fixedpointset;and .raw data as a moving image. This takes too much time for executed.
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<div>my Question here is:<font color="#ff0000"><strong> Is there a way to select STL (point set) data as a moving pointset,and .raw data fixed image? This will take more less time?</strong></font></div>
<div><strong><font color="#ff0000"></font></strong> </div>
<div><strong>Any suggestions?</strong></div>
<div><strong>Tony</strong></div></div><span class="ad"><br></span></div></div></div><span class="ad"><br>
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