On Thu, 16 Nov 2006, padawan12 wrote:
On Wed, 15 Nov 2006 13:00:55 +0100
Yes, the concept is clear enough, for example static on a black and
white television screen is 3D noise (x, y, brightness)
as a relation, that is 3D, but as a function, you need to distinguish
between input dimensions and output dimensions, because they have wildly
differing properties. Then, a b/w television screen is "2D into 1D".
and for a colour picture we can add two or three more depending on the
encoding.
that would be "2D into 3D". All colour encoding use 3 channels. One may
play with the definition to claim that there are only 2 channels (the two
chromas as one channel), but you can't claim that there are 4 channels.
AFAIK, "N-dimensional Perlin noise" means "N dimensions into 1 dimension",
as for a lot of things in math.
GridFlow considers "N-dimensional" to mean "N dimensions into 1
dimension" and then if you want more output dimensions (channels) you add
an input dimension called "channel" to handle them all.
Jitter distinguishes between "dimensions" (input) and "planes" (output aka
channels).
_ _ __ ___ _____ ________ _____________ _____________________ ...
| Mathieu Bouchard - tél:+1.514.383.3801 - http://artengine.ca/matju
| Freelance Digital Arts Engineer, Montréal QC Canada
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