<br>Hi David,<br><br>I would think that it all depends on what you are going to do next<br>with this data.<br><br>The image 2D storage will be more compact and will be convenient<br>for performing processing that relies on neighborhoods. However its<br>
notions of Origin, Spacing and Direction will be useless, and even <br>worse, actually misleading.<br><br>The storage as a Mesh seems to be a better option... but then we have<br>less Mesh-based filters than Image-based filters.<br>
<br>Again, it all depends on what kind of operations or algorithms are you<br>planning to apply to your LiDAR data.<br><br> Please let use know about them,<br><br><br> Thanks<br><br><br> Luis<br><br>
<br>-----------------------------------------------<br><div class="gmail_quote">On Tue, Aug 4, 2009 at 12:30 PM, David Doria <span dir="ltr"><<a href="mailto:daviddoria%2Bitk@gmail.com">daviddoria+itk@gmail.com</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;">A typical LiDAR scanner will provide points acquired on a uniform spherical grid. The result is a point cloud with known 4-connectivity (i.e. we know which point is above, below, left, and right of the current point). Is it reasonable to store this data in a 2D Vector Image where the values in each pixel are the 3D point coordinates? It seems more intuitive to store it in an actual mesh data structure (itkMesh and possibly use itkQuadEdge?) but then it doesn't seem possible to traverse it in rows/columns like the Vector Image method as well as use existing methods of searching a 3d radius, etc. <br>
<br>Can anyone comment on this trade off? Or maybe someone has already written code to load a ptx file into some an ITK data structure?<br>
<br clear="all">Thanks,<br><font color="#888888"><br>David<br>
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