orthogonal

Formula for a orthogonal projection matrix?

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I've been looking around a bit and can't seem to find just what I"m looking for. I've found "canonical formulas," but what's the best way to use these? Do I have to scale every single vertex down? Or is there a better way? A formula would really help me out, but I'm also looking for an explanation about the near and far z planes relative the viewer's position Bob Cross Here is a reasonable source that derives an orthogonal project matrix : Consider a few points: First, in eye space, your camera is positioned at the origin and looking directly down the z-axis. And second, you usually want your

How to create random orthonormal matrix in python numpy

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问题 Is there a method that I can call to create a random orthonormal matrix in python? Possibly using numpy? Or is there a way to create a orthonormal matrix using multiple numpy methods? Thanks. 回答1: This is the rvs method pulled from the https://github.com/scipy/scipy/pull/5622/files, with minimal change - just enough to run as a stand alone numpy function. import numpy as np def rvs(dim=3): random_state = np.random H = np.eye(dim) D = np.ones((dim,)) for n in range(1, dim): x = random_state

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