mpetroff

7 ms·

31.
by mpetroff 7y ago
This is a common misconception; both were recommended because they performed equally well on available data at the time [1]. While CIELUV does have the advantage that additive mixtures fall on straight lines in its chromaticity diagram, it
32.
by mpetroff 7y ago
The Wayback Machine has copies of the last CC BY-SA 4.0 version: https://web.archive.org/web/20191227182209/https://geolite.m... https://web.archive.org/web/20191227182412/https
33.
by mpetroff 7y ago
Including error bands on the plots unfortunately makes them extremely busy and difficult to interpret. The regions of a colormap that are particularly problematic can be seen as dips in the weighted average (except for linear colormaps, whe
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by mpetroff 7y ago
Here's an analysis of the colorblind-friendliness of Turbo and other colormaps: https://mpetroff.net/2019/08/discernibility-of-rainbow-color...
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by mpetroff 7y ago
The method presented in Machado et al. (2009) is implemented in Colorspacious [1]. I'm generally in favor of a more quantitative approach than simply running an image through a simulator and looking at it, although as someone who is co
36.
by mpetroff 7y ago
While color vision deficiency was considered, I wouldn't go nearly as far as saying that it was a first class citizen in the development of this colormap, which is unfortunate. Per my reading of the blog post, they ran some images thro
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Color cycle survey: preliminary order ranking results(mpetroff.net)
1 points by mpetroff 7y ago|0 comments
38.
Preliminary Color Cycle Set Ranking Results(mpetroff.net)
1 points by mpetroff 7y ago|0 comments
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Show HN: Color Cycle Survey – working towards colorblind-friendly plots(colorcyclesurvey.mpetroff.net)
1 points by mpetroff 8y ago|0 comments
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by mpetroff 11y ago
Pannellum supports Google Photo Sphere XMP data, so it should work with any photo sphere without any extra configuration. Note: I'm the author of Pannellum.