考虑Togliatti隐式曲面。我想将其剪切到半径为4.8
的以原点为中心的球上。带有misc3d
包的解决方案在于使用mask
函数的computeContour3d
参数,该参数只允许使用满足x^2+y^2+z^2 < 4.8^2
的点:
library(misc3d)
# Togliatti surface equation: f(x,y,z) = 0
f <- function(x,y,z){
w <- 1
64*(x-w)*
(x^4-4*x^3*w-10*x^2*y^2-4*x^2*w^2+16*x*w^3-20*x*y^2*w+5*y^4+16*w^4-20*y^2*w^2) -
5*sqrt(5-sqrt(5))*(2*z-sqrt(5-sqrt(5))*w)*(4*(x^2+y^2-z^2)+(1+3*sqrt(5))*w^2)^2
}
# make grid
nx <- 220; ny <- 220; nz <- 220
x <- seq(-5, 5, length=nx)
y <- seq(-5, 5, length=ny)
z <- seq(-4, 4, length=nz)
g <- expand.grid(x=x, y=y, z=z)
# calculate voxel
voxel <- array(with(g, f(x,y,z)), dim = c(nx,ny,nz))
# mask: keep points satisfying x^2+y^2+z^2 < 4.8^2, in order to
# clip the surface to the ball of radius 4.8
mask <- array(with(g, x^2+y^2+z^2 < 4.8^2), dim = c(nx,ny,nz))
# compute isosurface
surf <- computeContour3d(voxel, maxvol=max(voxel), level=0, mask=mask, x=x, y=y, z=z)
# draw isosurface
drawScene.rgl(makeTriangles(surf, smooth=TRUE))
但是最终表面的边界是不规则的:
如何获得规则,平滑的边框?
答案 0 :(得分:3)
我找到的解决方案是使用球坐标。它包括根据球坐标f
定义函数(ρ, θ, ϕ)
,然后计算ρ
从0
到所需半径的等值面,然后转换结果到笛卡尔坐标:
# Togliatti surface equation with spherical coordinates
f <- function(ρ, θ, ϕ){
w <- 1
x <- ρ*cos(θ)*sin(ϕ)
y <- ρ*sin(θ)*sin(ϕ)
z <- ρ*cos(ϕ)
64*(x-w)*
(x^4-4*x^3*w-10*x^2*y^2-4*x^2*w^2+16*x*w^3-20*x*y^2*w+5*y^4+16*w^4-20*y^2*w^2) -
5*sqrt(5-sqrt(5))*(2*z-sqrt(5-sqrt(5))*w)*(4*(x^2+y^2-z^2)+(1+3*sqrt(5))*w^2)^2
}
# make grid
nρ <- 300; nθ <- 400; nϕ <- 300
ρ <- seq(0, 4.8, length = nρ) # ρ runs from 0 to the desired radius
θ <- seq(0, 2*pi, length = nθ)
ϕ <- seq(0, pi, length = nϕ)
g <- expand.grid(ρ=ρ, θ=θ, ϕ=ϕ)
# calculate voxel
voxel <- array(with(g, f(ρ,θ,ϕ)), dim = c(nρ,nθ,nϕ))
# calculate isosurface
surf <- computeContour3d(voxel, maxvol=max(voxel), level=0, x=ρ, y=θ, z=ϕ)
# transform to Cartesian coordinates
surf <- t(apply(surf, 1, function(rtp){
ρ <- rtp[1]; θ <- rtp[2]; ϕ <- rtp[3]
c(
ρ*cos(θ)*sin(ϕ),
ρ*sin(θ)*sin(ϕ),
ρ*cos(ϕ)
)
}))
# draw isosurface
drawScene.rgl(makeTriangles(surf, smooth=TRUE, color = "violetred"))
现在生成的表面具有规则的平滑边界:
答案 1 :(得分:1)
您的解决方案非常适合您遇到的问题,因为球坐标对于该边界是如此的自然。但是,这是一个更通用的解决方案,适用于其他平滑边界。
该想法是允许输入边界函数,以及当它们过大或过小时都剔除它们。在您的情况下,这将是与原点的平方距离,并且您想剔除值大于4.8 ^ 2的点。但是有时绘制为使表面光滑的三角形仅应部分剔除:将保留一个点并删除两个点,或者保留两个点并删除一个点。如果您剔除会导致原始图上锯齿状边缘的整个三角形。
要解决此问题,可以修改这些点。如果只保留其中一个,则可以将其他两个点向其缩小,直到它们位于边界的近似值上。如果要保留两个,则您希望形状为四边形,那么您将用两个三角形来构建形状。
假设输入surf
是computeContour3d
的输出,此函数将执行以下操作:
boundSurface <- function(surf, boundFn, bound = 0, greater = TRUE) {
# Surf is n x 3: each row is a point, triplets are triangles
values <- matrix(boundFn(surf) - bound, 3)
# values is (m = n/3) x 3: each row is the boundFn value at one point
# of a triangle
if (!greater)
values <- -values
keep <- values >= 0
# counts is m vector counting number of points to keep in each triangle
counts <- apply(keep, 2, sum)
# result is initialized to an empty array
result <- matrix(nrow = 0, ncol = 3)
# singles is set to all the rows of surf where exactly one
# point in the triangle is kept, say s x 3
singles <- surf[rep(counts == 1, each = 3),]
if (length(singles)) {
# singleValues is a subset of values where only one vertex is kept
singleValues <- values[, counts == 1]
singleIndex <- 3*col(singleValues) + 1:3 - 3
# good is the index of the vertex to keep, bad are those to fix
good <- apply(singleValues, 2, function(col) which(col >= 0))
bad <- apply(singleValues, 2, function(col) which(col < 0))
for (j in 1:ncol(singleValues)) {
goodval <- singleValues[good[j], j]
for (i in 1:2) {
badval <- singleValues[bad[i,j], j]
alpha <- goodval/(goodval - badval)
singles[singleIndex[bad[i,j], j], ] <-
(1-alpha)*singles[singleIndex[good[j], j],] +
alpha *singles[singleIndex[bad[i,j], j],]
}
}
result <- rbind(result, singles)
}
doubles <- surf[rep(counts == 2, each = 3),]
if (length(doubles)) {
# doubleValues is a subset of values where two vertices are kept
doubleValues <- values[, counts == 2]
doubleIndex <- 3*col(doubleValues) + 1:3 - 3
doubles2 <- doubles
# good is the index of the vertex to keep, bad are those to fix
good <- apply(doubleValues, 2, function(col) which(col >= 0))
bad <- apply(doubleValues, 2, function(col) which(col < 0))
newvert <- matrix(NA, 2, 3)
for (j in 1:ncol(doubleValues)) {
badval <- doubleValues[bad[j], j]
for (i in 1:2) {
goodval <- doubleValues[good[i,j], j]
alpha <- goodval/(goodval - badval)
newvert[i,] <-
(1-alpha)*doubles[doubleIndex[good[i,j], j],] +
alpha *doubles[doubleIndex[bad[j], j],]
}
doubles[doubleIndex[bad[j], j],] <- newvert[1,]
doubles2[doubleIndex[good[1,j], j],] <- newvert[1,]
doubles2[doubleIndex[bad[j], j],] <- newvert[2,]
}
result <- rbind(result, doubles, doubles2)
}
# Finally add all the rows of surf where the whole
# triangle is kept
rbind(result, surf[rep(counts == 3, each = 3),])
}
您可以在computeContour3d
之后和makeTriangles
之前使用它,例如
fn <- function(x) {
apply(x^2, 1, sum)
}
drawScene.rgl(makeTriangles(boundSurface(surf, fn, bound = 4.8^2,
greater = FALSE),
smooth = TRUE))
这是我看到的输出:
它不如您的好,但是可以用于许多不同的边界函数。