Abstract
We publish two carefully prepared and spectrally measured datasets of paint swatches. The main advantage of these datasets is that a diverse set of paint mixtures are manually prepared the way an artist may create them. The ratio of paints in each mixture is also published. The first set has 286 swatches made from 8 tubes of Old Holland oil paints in different combinations. The second set has 397 swatches made from 9 tubes of Schmincke watercolor paints. We provide exact details about the preparation of our swatches. We analyze the colorimetric and spectral properties of the two datasets in order to show the spread of the colorimetric gamut and the intrinsic, spectral dimensionality of the datasets. The dataset will be available on http://cam.mpi-inf.mpg.de/ and http://www.azadehasadi.com/.
Highlights
In the majority of available paint datasets [1], a large number of paint tubes are used to get different hues, with black or Titanium white paints added to create different values
As one major motivation of publishing this kind of dataset is fine art reproduction for cultural heritage preservation, paint swatches need to be created following the method of artists
In case of oil paints, a mixture of Zinc and Titanium white is used to lighten up the created hues in different steps
Summary
In the majority of available paint datasets [1], a large number of paint tubes are used to get different hues, with black or Titanium white paints added to create different values. Paints are only “computationally” mixed together, or not at all This method has a main disadvantage: painting artists rarely use it. Prominent painting artists use only a limited number of paints. Their so called “limited palette” is highly praised by art critics for better painting unity, balance, color harmony, cool-warm color contrasts, less over-mixing mud, more economical, etc. Watercolor artists avoid white and use water to dilute and lighten up the paints
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