A list of puns related to "Z matrix"
Hi. I'm looking into implementing light clustering and culling in my renderer. To get the cluster depth slice for a given pixel, you need to linearise gl_fragCoord.z
before plugging it into one of the functions mentioned here (interactively shown here).
This linearisation function written by the above author is here and I've graphed it here. When gl_fragCoord.z
is 0
it equals zNear
and when it is 1
it equals zFar
.
The problem is that I'm using an infinite Z perspective matrix (as mentioned here) and don't have a far plane, so it's not possible for me to write a linearisation function like this. Any ideas of what I can do instead?
I'm working on a wireframe renderer for learning purposes. One point of confusion is the perspective matrix. I could just divide X and Y by Z, but I am using the OpenGL pipeline as a guide so I am dividing the XYZ components by W after assigning Z to W using a perspective matrix. The matrix I am using is basically the same as the simple one here. The question I have is what is the use of having a non-zero coefficient in the Z column if only W is used in the end? For my use, only the -1 coefficient in Z-th index of the W column matters, and in practice that and the last index of the W column are the only two that are useful by giving a way put a mixture of the previous W=1 and Z into W.
The matrices that are described do a lot of scaling to Z, so where is Z used further down the pipeline after perspective divide, does it involve clipping? It might be my simple implementation, but I have no use for Z after applying the perspective matrix, and even that step is a little formal since I am only using W to divide by Z.
Thanks for any info
I am trying to make a 3 Dimensional Graph between variables "x, y and w", and color this graph according to values of "z" :
library(plotly)
library(dplyr)
X <- seq(0,3.1,0.1)
Y <- seq(0,3.1,0.1)
W <- seq(0,3.1,0.1)
DF <- expand.grid(X,Y, W)
#Compute variable for colors
DF$Z <- sin(DF$Var1) + cos(DF$Var2) + sin(DF$Var3)
#make a matrix of color values
Mat <- matrix(DF$Z,nrow = 32)
#make a matrix for z values
#had real data.
Mat2 <- matrix(rep(c(1:16,16:1),32),nrow=32)
plot_ly(y=~Y,x=X, z=~W) %>%
add_surface(surfacecolor=~Mat)
But this produces an error:
Error: `z` must be a numeric matrix
Can anyone please show me how to fix this problem?
Thanks
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I have an optimized dimer and need to perform calculations that involve manipulating the inter-moiety bond. I have the C1, C2, etc. labels from Avogadro and the dihedral angles D1, D2, etc. in my z-matrix but am unsure how to identify, for example, the specific dihedral angle that corresponds to C7, C8, C4, and S1. I've never used Reddit before and am unsure how to attach the screenshots that might be helpful, but does anyone have any pointers?
Hi All
I'm using a rhino model to generate 2d CNC paths via make2d for an architectural model. After I rotate all my walls (pre-make 2d) it would be very handy to have a way to:
align all the objects en masse to the C-plane or Z=0. I played with SetPt, but it seems to collapse all the control points to zero as well.
instead of distribute X or distribute Y, it would be great if you could create a distribution on X AND Y (for better CNC cutting) I couldnt figure out how to naturally do this with a disordered group of objects.
Does anyone know of any commands built in, or rhinoscripts that accomplish either of these functions? It seems wierd that this ability is missing in a program as robust as Rhino.
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