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MeshAgreement  

Agreement Measures for 3D Meshes
View on CRAN: Click here


Download and install MeshAgreement package within the R console
Install from CRAN:
install.packages("MeshAgreement")

Install from Github:
library("remotes")
install_github("cran/MeshAgreement")

Install by package version:
library("remotes")
install_version("MeshAgreement", "0.1.2")



Attach the package and use:
library("MeshAgreement")
Maintained by
Daniel Wollschlaeger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-16
Latest Update:
Description:
Calculates distance-based and volume-overlap-basedagreement measures for triangular 3D meshes. These includethe Hausdorff distance the average surface distance theDice similarity coefficient and the Jaccard similaritycoefficient as documented in Stockinger et al. 2021doi10.1186s13014-021-01965-5. Overall agreement fora set of meshes is calculated as the aggregate agreementfor all pairwise comparisons. Based on algorithmsprovided by the VCGLIB httpvcg.isti.cnr.itvcgliband CGAL httpswww.cgal.org libraries.Includes web-based graphical user interface.
How to cite:
Daniel Wollschlaeger (2022). MeshAgreement: Agreement Measures for 3D Meshes. R package version 0.1.2, https://cran.r-project.org/web/packages/MeshAgreement. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.2 (2022-11-16 15:40), 0.1.4 (2022-11-25 13:00), (2026-07-09 08:10)
Other packages that cited MeshAgreement R package
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Functions, R codes and Examples using the MeshAgreement R package
Full MeshAgreement package functions and examples
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