Dear morphometricians,
 
I wish to alert you to a new paper (doi: 10.1111/2041-210X.12576), accepted in 
Methods in Ecology and Evolution, in which we propose and describe an R tool 
conceived to find the optimal smoothing settings when decimation is desired on 
a 3D mesh.
In fact, 3D imaging techniques generate a series of alterations on the 
reconstructed surfaces, due to inaccuracies in the processes of acquisition and 
rendering. The topological simplification, by decimating vertices and facets of 
a mesh, can solve these problems by facilitating the subsequent steps in 
surface processing. By applying an optimal smoothing filter on the decimated 
model, it is possible to recover a percentage of anatomical information lost 
during the decimation procedure. 




This first release of the tool is designed for those cases in which 
semi-landmarks are used. 




Specifically, our tool finds the optimal smoothing filter (algorithm type, 
iteration, scale factor parameter), just requiring a 3D mesh, a landmark set 
and a semi-landmark set as inputs.




In the paper http://onlinelibrary.wiley.com/doi/10.1111/2041-210X.12576/epdf is 
reported a detailed description of the tool with an example of application on a 
3D simplified model of Saccopastore 1.




The R code, 3D model and landmark and semi-landmark sets are available as 
Supporting information and they are also accessible via Github 
https://github.com/Arothron/Arothron and Dryad repositories 
http://doi:10.5061/dryad.28631 .
In the Arothron R package other useful functions are embedded, in particular to 
import Amira data in the R environment (e.g. landmark set, surface.path), for 
details see (Profico et al. 2016 Filling the gap. Human cranial remains from 
Gombore II (Melka Kunture, Ethiopia; ca. 850 ka) and the origin of Homo 
heidelbergensis doi 10.4436/JASS.94019) 




Best,

Antonio 

______________________________________

Antonio Profico
PhD student
Department of Environmental Biology – Dipartimento di Biologia Ambientale
SAPIENZA Università di Roma

Lab.  06 4991 2690
Mob. 3293440766

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