Hi,
could someone explain me the math behind and the benefits of the Bias and Gain VOPs over the classic add/mult/pow approach. These "functions" are present in the Color Correct VOP and recently they found their way to the Unified Noise VOP as well. Still I wasn't able to find any description of how they work and why should I prefer them over other value correction methods.
thanks in advance
Mate
VOP's Gain and Bias explanation
Started by beeemtee, Jun 20 2012 11:59 AM
2 replies to this topic
#1
Posted 20 June 2012 - 11:59 AM
#2
Posted 20 June 2012 - 12:39 PM
Check voplib.h that you can find in
directory. It contains all the code and math behind those functions.
Bias = vop_bias(float base, bias) {}
Gain = vop_gain(float base, gain) {}
Link:
Bias vs Gain
\Houdini12.0.XXX\houdini\vex\include
directory. It contains all the code and math behind those functions.
Bias = vop_bias(float base, bias) {}
Gain = vop_gain(float base, gain) {}
Link:
Bias vs Gain
Edited by mantragora, 20 June 2012 - 12:51 PM.
#3
Posted 20 June 2012 - 03:10 PM
Thanks!
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