[SciPy-Dev] Poisson Disk Sampling

[Robert Kern]

On Wed, Oct 17, 2018 at 9:36 PM Phillip Feldman <phillip.m.feldman at gmail.com>
wrote:

> This is indeed very interesting.  Thanks!
>
> P.S. I don't know of a clean mapping between [0, 1]^2 and the surface of
> the sphere.  (This is a problem that cartographers have struggled with for
> a few hundred years).  But, there is a simple mapping from [-1, 1]^3 to the
> surface of the sphere, so I will explore that.
>

See the section "Quasirandom Points on a sphere" in that article for the
details.


> On Wed, Oct 17, 2018 at 5:43 PM Robert Kern <robert.kern at gmail.com> wrote:
>
>> This article describes a new quasirandom scheme that is easy and
>> efficient to implement, and works nicely on the surface of a sphere through
>> transformation:
>>
>>
>> http://extremelearning.com.au/unreasonable-effectiveness-of-quasirandom-sequences/
>>
>> The transformation should be applicable to any (quasi)random scheme that
>> generates numbers uniformly over [0,1]^2.
>>
>> On Sun, Oct 14, 2018 at 11:20 AM Phillip Feldman <
>> phillip.m.feldman at gmail.com> wrote:
>>
>>> Does anyone have code that does efficient subrandom sampling of the
>>> surface of a sphere?  I'm looking, e.g., for an implementation of the
>>> algorithm in
>>> https://www.cs.ubc.ca/~rbridson/docs/bridson-siggraph07-poissondisk.pdf,
>>> or something similar.
>>>
>>> Thanks!
>>>
>>> Phillip
>>>
>>>
>>>
>>> _______________________________________________
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>>> SciPy-Dev at python.org
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>>>
>>
>>
>> --
>> Robert Kern
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-- 
Robert Kern
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