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TitleEstimating the colors of paintings
Author(s)Nascimento, Sérgio M. C.
Linhares, João M. M.
João, Catarina A. R.
Amano, Kinjiro
Montagner, Cristina
Melo, Maria J.
Vilarigues, Marcia
KeywordsColors of paintings
Color vision
Color rendering
Art visualization
Issue date2015
PublisherSpringer Verlag
JournalLecture Notes in Computer Science
CitationNascimento, S. M. C., Linhares, J. M. M., João, C. A. R., Amano, K., Montagner, C., Melo, M. J., & Vilarigues, M. (2015). Estimating the Colors of Paintings. In A. Tremeau, R. Schettini & S. Tominaga (Eds.), Computational Color Imaging, Cciw 2015 (Vol. 9016, pp. 236-242).
Abstract(s)Observers can adjust the spectrum of illumination on paintings for optimal viewing experience. But can they adjust the colors of paintings for the best visual impression? In an experiment carried out on a calibrated color moni- tor images of four abstract paintings obtained from hyperspectral data were shown to observers that were unfamiliar with the paintings. The color volume of the images could be manipulated by rotating the volume around the axis through the average (a*, b*) point for each painting in CIELAB color space. The task of the observers was to adjust the angle of rotation to produce the best subjective impression from the paintings. It was found that the distribution of angles selected for data pooled across paintings and observers could be de- scribed by a Gaussian function centered at 10o, i.e. very close to the original colors of the paintings. This result suggest that painters are able to predict well what compositions of colors observers prefer.
TypeConference paper
Publisher version
AccessRestricted access (UMinho)
Appears in Collections:CDF - OCV - Artigos/Papers (with refereeing)

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