wireframe

It's difficult to tell what is being asked here. This question is ambiguous, vague, incomplete, overly broad, or rhetorical and cannot be reasonably answered in its current form. For help clarifying this question so that it can be reopened, visit the help center . Closed 6 years ago . I want to write a program that will construct a wire-frame model of a face image and display it as 3d. Can any body help me about how to do this ? I have some knowledge about opencv and opengl 来源： https://stackoverflow.com/questions/15129745/construct-wireframe-model-of-a-face-image

I vaguely remember seeing something in OpenGL (not ES, which was still at v1.0 on the iPhone when I came across this, which is why I never used it) that let me specify which edges of my polygons were considered outlines vs those that made up the interior of faces. As such, this isn't the same as the outline of the entire model (which I know how to do), but rather the outline of a planar face with all its tris basically blended into one poly. For instance, in a cube made up of tri's, each face is actually two tris. I want to render the outline of the square, but not the diagonal across the face

I'm trying to implement the paper "Single-Pass Wireframe Rendering", which seems pretty simple, but it's giving me what I'd expect as far as thick, dark values. The paper didn't give the exact code to figure out the altitudes, so I did it as I thought fit. The code should project the three vertices into viewport space, get their "altitudes" and send them to the fragment shader. The fragment shader determines the distance of the closest edge and generates an edgeIntensity. I'm not sure what I'm supposed to do with this value, but since it's supposed to scale between [0,1], I multiply the

I am trying to color a wireframe plot according to the z-value. I can't find any code examples on the internet. Here is an example of a surface plot that has the colors I want and a wireframe plot where I can't manage to get the colors on the lines: import numpy as np from mpl_toolkits.mplot3d import Axes3D from matplotlib import cm import matplotlib.pyplot as plt # some numbers for the data P=12000 #W Q=1 #kg/s DT=3 #K cp=4169.32 #J/kgK dDT=np.logspace(-2,0,20,endpoint=True) dQ=Q*np.logspace(-3,-1,20,endpoint=True) # the plotting data m1,m2=np.meshgrid(dDT,dQ) err=cp*np.sqrt((m1*Q)**2+(m2*DT)