<div dir="ltr">Luca,<div><br></div><div>Have you seen <a href="http://pointclouds.org/documentation/tutorials/normal_estimation.php">this</a>? Are you just looking for a more detailed example? I'm also looking to eventually do something similar, once I get it all set up in the end.</div><div><br></div><div>V/R,<br>Eric</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Sat, Jul 18, 2015 at 3:21 AM, Luca Morandini <span dir="ltr"><<a href="mailto:lmorandini@ieee.org" target="_blank">lmorandini@ieee.org</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Folks,<br>
<br>
I would like to compute PCA on some LIDAR data in order to tell, say, walls from cables. Therefore, it would be useful to know the eigenvectors/eigenvalues of the point clouds belonging to voxels of different sizes.<br>
<br>
However, I have been unable so far to find a way to achieve this in ParaView, possibly using Python: can someone be so benevolent as to show me the way?<br>
<br>
Regards,<br>
<br>
Luca Morandini<br>
Data Architect - AURIN project<br>
Melbourne eResearch Group<br>
Department of Computing and Information Systems<br>
University of Melbourne<br>
Tel. <a href="tel:%2B61%2003%20903%2058%20380" value="+61390358380" target="_blank">+61 03 903 58 380</a><br>
Skype: lmorandini<br>
<br>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><span style="color:rgb(51,51,255)"></span><span><font color="#888888"><span style="color:rgb(51,51,255)">Eric Younkin LTJG/NOAA</span><br style="color:rgb(51,51,255)"><span style="color:rgb(51,51,255)">HSTP Liaison - East</span><br style="color:rgb(51,51,255)"><span style="color:rgb(51,51,255)">
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