I have sonar image which is basically a point cloud (x, y, z) of an irregular
underground cone-shaped structure. I am trying to create either (1) a closed 3D
mesh with "equally spaced" mesh grid, or (2) a smooth closed surface,
for instance by calculating connected localized regression surfaces. My Z
(vertical) component is equally spaced, but X and Y consist of 128 points around
the perimeter, regardless of diameter, which makes the grid size small where the
diameter is small, and large where it is large. I'm looking for relatively
equal grids, so I could use regression or interpolation to add points where
needed, or conversely remove them, hence the idea of a localized surface
regression. I've tried plot3D package, RGL, and a couple other packages
including alphashape3d. I have not tried plotly or rms. So much time invested I
thought I would ask for advice, if anyone knows a package or technique or can
clue which direction to go. Thanks,
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The r-sig-geo list and corresponding cran task view *might* be a better place to post and/look. Bert On May 4, 2017 12:51 PM, "Eric Krantz" <Eric.Krantz at respec.com> wrote:> I have sonar image which is basically a point cloud (x, y, z) of an > irregular underground cone-shaped structure. I am trying to create either > (1) a closed 3D mesh with "equally spaced" mesh grid, or (2) a smooth > closed surface, for instance by calculating connected localized regression > surfaces. My Z (vertical) component is equally spaced, but X and Y consist > of 128 points around the perimeter, regardless of diameter, which makes the > grid size small where the diameter is small, and large where it is large. > I'm looking for relatively equal grids, so I could use regression or > interpolation to add points where needed, or conversely remove them, hence > the idea of a localized surface regression. I've tried plot3D package, RGL, > and a couple other packages including alphashape3d. I have not tried plotly > or rms. So much time invested I thought I would ask for advice, if anyone > knows a package or technique or can clue which direction to go. Thanks, > Confidentiality Notice: This E-mail and any attachments ...{{dropped:12}} > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/ > posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >[[alternative HTML version deleted]]
Rvcg another option to explore with its ball-pivoting surface reconstruction. Mike On Fri, May 5, 2017, 08:34 Bert Gunter <bgunter.4567 at gmail.com> wrote:> The r-sig-geo list and corresponding cran task view *might* be a better > place to post and/look. > > Bert > > > On May 4, 2017 12:51 PM, "Eric Krantz" <Eric.Krantz at respec.com> wrote: > > > I have sonar image which is basically a point cloud (x, y, z) of an > > irregular underground cone-shaped structure. I am trying to create either > > (1) a closed 3D mesh with "equally spaced" mesh grid, or (2) a smooth > > closed surface, for instance by calculating connected localized > regression > > surfaces. My Z (vertical) component is equally spaced, but X and Y > consist > > of 128 points around the perimeter, regardless of diameter, which makes > the > > grid size small where the diameter is small, and large where it is large. > > I'm looking for relatively equal grids, so I could use regression or > > interpolation to add points where needed, or conversely remove them, > hence > > the idea of a localized surface regression. I've tried plot3D package, > RGL, > > and a couple other packages including alphashape3d. I have not tried > plotly > > or rms. So much time invested I thought I would ask for advice, if anyone > > knows a package or technique or can clue which direction to go. Thanks, > > Confidentiality Notice: This E-mail and any attachments ...{{dropped:12}} > > > > ______________________________________________ > > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guide http://www.R-project.org/ > > posting-guide.html > > and provide commented, minimal, self-contained, reproducible code. > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. >-- Dr. Michael Sumner Software and Database Engineer Australian Antarctic Division 203 Channel Highway Kingston Tasmania 7050 Australia [[alternative HTML version deleted]]