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Quantifying Colour

82 pointsby vismit2000yesterday at 3:43 PM8 commentsview on HN

Comments

herfyesterday at 5:49 PM

This is both interesting and weird!

We know the typical LMS responses for human cones (e.g., Stockman-Sharpe) that could easily be plotted instead of the bell-curve-like things they use here - why? Is it good enough for illustration? You could say, kind of but then all the colors are kind of wrong too. For example, D65 is very blue here.

The article takes a really long time to get to the thing everyone should know: which is that our cones responses overlap a lot, and we get color sensations by (kind of) differencing them. Doing a matrix transform after ten pages to get to chromaticity is technically correct, but it's not the most accessible/intuitive way to teach this.

Nice effort but it would be better if it were closer to "real" color math.

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pmkaryyesterday at 7:15 PM

There is a Knuth/TeX like elegance in the diagrams that you don't see on the web. More than the content that is amazing; and the visualizations that clearly took a very long time to make; it is a fabulous piece of art. Really really nice.

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chessucationyesterday at 11:58 PM

very interesting, didn't know my weekend was going to be filled with color science but happier for it, brilliant presentation too

mavlabtoday at 12:19 AM

This is all dimensionality reduction down 3 with compact bump-like filters. But if you ran PCA on natural spectra you'd get some different kind of filters! Fourier-like things. I want fourier eyes