Didn't notice the usages of different color models until this lecture! It was interesting to know why we need different color models and the relationships with the spectral description.
hmm
What makes SML impractical? It seems like the best model, given that it is based on human perception, and since people usually use color pickers, the actual values assigned to each color aren't that important? Or is it hard to do anything computational using SML values?
Didn't notice the usages of different color models until this lecture! It was interesting to know why we need different color models and the relationships with the spectral description.
What makes SML impractical? It seems like the best model, given that it is based on human perception, and since people usually use color pickers, the actual values assigned to each color aren't that important? Or is it hard to do anything computational using SML values?