wireframe

If I construct a shape using constructive solid geometry techniques, how can I construct a wireframe mesh for rendering? I'm aware of algorithms for directly rendering CSG shapes, but I want to convert it into a wireframe mesh just once so that I can render it "normally" To add a little more detail. Given a description of a shape such as "A cube here, intersection with a sphere here, subtract a cylinder here" I want to be able to calculate a polygon mesh. There are two main approaches. If you have a set of polygonal shapes, it is possible to create a BSP tree for each shape, then the BSP trees

This question already has an answer here: Manually defining the colours of a wireframe 1 answer Is there a way to change the drape color scale in lattice: wireplot? I have a series of plots and would like to adjust the colors so they each show the same color scale. I am able to change the z axis scale, but that only makes it so the surface itself moves up and down, not the color scale. Is there a keyword I am missing when looking it up? wireframe(InitFe2solid.ug.gdw~Depth*Distance, allplatesdata[allplatesdata$UseMonth=="August", ], drape = TRUE, colorkey = TRUE, zlab = list("Sulfate uM", rot =

I have a nice surface that represents nonlinear multi-part regression results on a regression with two independent variables. I would like to plot the regression predicted values as a nice 3D surface and then show the actual values as point that bounce around the surface. This would be the 3D version of plotting a regression line and showing the actuals as points around the line. I can't figure out how to do this with lattice. I'm happy to use another graphing library in R, but I don't know of others that do 3D plots. Here's a simplified version of what I want to do: library(lattice) #set up

Qt3D documentation is increasing but still lacking some information especially on how to do things without Qml/QtQuick. After heavily searching the web about rendering a mesh in wireframe mode I found a lot of helpful hints and examples that all together resulted in an example viewer that I wanted to present here as a contribution to all the guys that wrote the articles and others who may have searched similar examples. The most helpful links were these: Qt basic shapes example Qt wireframe example Qt material documentation Qt MyCylinder example Stackoverflow question and answer about using

I'm looking for an easy to use wireframing tool. I've heard of gliffy , are there any others? Specifically, I'd like something that is Easy to use Supports collaboration export to html and css lets me show the wireframes to the client. Allowing annotations would be a nice feature. low cost, or free GmonC Creately Creately isn't really free, but you can pay them whatever price you think it's right (even $1). Some features (from official website): Business Diagrams * Process Flow (BPMN) * Online Flowcharts * Concept Maps * Mind Maps * SWOT Diagrams * Organizational Chart User Interface Design *

I want to plot a heart shape wireframe as shown in the following image ( source ): I have tried to make it by using this MATLAB program: n=100; x=linspace(-3,3,n); y=linspace(-3,3,n); z=linspace(-3,3,n); [X,Y,Z]=ndgrid(x,y,z); F=((-(X.^2) .* (Z.^3) -(9/80).*(Y.^2).*(Z.^3)) + ((X.^2) + (9/4).* (Y.^2) + (Z.^2)-1).^3); isosurface(F,0) lighting phong caxis axis equal colormap('flag'); view([55 34]); But I didn't get the desired shape of framework as shown in the figure. I have identified the problem: to create a wireframe we usually use the command mesh() . But this plotting facility only allow us

I want to plot 3d cuboid in python. Input : center (3 points for the center) radius (3 radius values, one for each dimension) Ideally it should be a wireframe plot(I need to see whats inside).I am not exactly sure how to go about this. Using python matplotlib or Mayavi is fine. Thanks! So far I have tried the following code ..but that only draws a cube from mpl_toolkits.mplot3d import Axes3D import matplotlib.pyplot as plt import numpy as np from itertools import product, combinations fig = plt.figure() ax = fig.gca(projection='3d') ax.set_aspect("equal") #draw cube r = [-1, 1] for s, e in

I have the following data in a data frame: **x** in (0,1) **y** in [0,1] **z** in [0,1] For example: X,Y,Z 0.1, 0.2, 0.56 0.1, 0.3, 0.57 ... I'd like to plot them on this type of chart: I tried on R, but all I could get was a not-so-fancy 3d scatterplot . I also read about the lattice 3d wireframe , but I couldn't get my head around it. What am I supposed to do to get a Matlab like wireframe in R? What data transforms are involved? This is the sample code from the documentation: x <- seq(-pi, pi, len = 20) y <- seq(-pi, pi, len = 20) g <- expand.grid(x = x, y = y) g$z <- sin(sqrt(g$x^2 + g$y^2