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Random Normal

描述

I call this Random Normal as it effectively generates randomized unit vectors uniformly distributed.

Instead of using x = random(2)-1, y = random(2)-1, z = random(2)-1 then normalized.. which is rather poor in many reasons.

We compute the euler angles for theta and phi. It works on a nice property of arc-cos which is a uniform distribution of the 'y' axis just by using -1 to 1.

as you can see by the rotating sphere.. no polar bias. lovely.

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