inst/essais/rat.R
In stla/SurfaceReconstruction: Surface Reconstruction Using the 'CGAL' C++ Library
dat <- read.table("rat.txt")
vertices <- subset(dat, V1 == "v")[, c(2, 3, 4)]
normals <- subset(dat, V1 == "vn")[, c(2, 3, 4)]
psr <- PoissonReconstruction(
as.matrix(vertices), as.matrix(normals), spacing = 0.08,
sm_angle = 50, sm_radius = 3, sm_distance = 0.1
)
shade3d(psr, color = "gray")
wire3d(psr)
afs <- AFSreconstruction(as.matrix(vertices))
stla/SurfaceReconstruction documentation built on July 23, 2022, 12:06 p.m.
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dat <- read.table("rat.txt")
vertices <- subset(dat, V1 == "v")[, c(2, 3, 4)]
normals <- subset(dat, V1 == "vn")[, c(2, 3, 4)]
psr <- PoissonReconstruction(
as.matrix(vertices), as.matrix(normals), spacing = 0.08,
sm_angle = 50, sm_radius = 3, sm_distance = 0.1
)
shade3d(psr, color = "gray")
wire3d(psr)
afs <- AFSreconstruction(as.matrix(vertices))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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