mpetroff
Joined 11 years ago
Joined 11 years ago
Without going to lightness extremes, I agree that this likely isn't possible, at least when trying to accommodate all three types of dichromacy and for small color patch sizes (like those typically used for line and scatter plots). For example, you could take the 10-color accessible palette from work I've published [1] and add black and bright yellow to get twelve colors, but the lightness extremes of adding these colors would result in significantly-different visual weights. Based on a validation survey I conducted, I think even ten colors is pushing the limit of what's reasonable when lightness extremes aren't used.
> could share what colors in the 12-bit palette...are problematic
#9d5 and #4d8 is the color pair I find particularly problematic.
Color-vision deficiency simulations collapse colors along the confusion lines, but this can be done multiple ways. These different mapping will all look the same (and identical to the original) to a dichromat but will appear different, with different perceptual differences between colors, to a color-normal individual. Simulating in a way that accurately portrays perceived color distances is still an open research problem.
However, to properly screen for color vision deficiencies requires calibrated spectra. Thus, even a color-calibrated monitor is insufficient, since color calibration assumes that the standard cone response functions are valid, which isn't the case for anomalous trichromats (which encompasses the most common types of colorblindness). This is why screening, such as with the HRR test, is done with plates printed with spectrally-calibrated inks in controlled lightning conditions (again with a known spectrum).
Definitely! I wasn't expecting to see a mention of BICEP while reading HN from Pole, particularly not on something as arcane as its star camera.
BICEP, however, is located at the South Pole on a moving ice sheet, requiring frequent updates to its pointing model, and has six months of continuous daylight, so daytime star pointing observations are required. This requires a different technique. Instead of looking at asterisms with multiple stars, the optical pointing telescope is pointed at a single star using an initial pointing model, the telescope pointing is adjusted until the star is centered, and the offset is recorded. This measurement process is repeated for the few dozen brightest stars, which acquires the data needed for refining the pointing model.
No, it very much isn't. The second and third colors, the orange and the green, look extremely similar to protanopes (red deficiency). Fortunately, there's a plan to fix this for Matplotlib 4.0.
[1] https://github.com/MaPePeR/jsColorblindSimulator#the-colorma...