A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments

Chen, Mei-Yun; Yang, Ci-Syuan; Ouhyoung, Ming

A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments

Files

001-002.pdf (3.17 MB)

1002_a4_2.pdf (1.61 MB)

Date

2018

Authors

Chen, Mei-Yun
Yang, Ci-Syuan
Ouhyoung, Ming

Publisher

The Eurographics Association

Abstract

For novice painters, color mixing is a necessary skill which takes many years to learn. To get the skill easily, we design a system, a smart palette, to help them learn quickly. Our system is based on physical watercolor pigments, and we use a spectrometer to measure the transmittance and reflectance of watercolor pigments and collect a color mixing dataset. Moreover, we use deep neural network (DNN) to train a color mixing model. After that, using the model to predict a large amount of color mixing data creates a lookup table for color matching. In the smart palette, users can select a target color from an input image; then, the smart palette will find the nearest color, which is a matched color, and show a recipe where two pigments and their respective quantities can be mixed to get that color.

        @inproceedings{10.2312:egp.20181008
,
booktitle = {EG 2018 - Posters
},
editor = {Jain, Eakta and Kosinka, Jirí
},
title = {{A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments
}},
author = {Chen, Mei-Yun and 
Yang, Ci-Syuan and 
Ouhyoung, Ming
},
year = {2018
},
publisher = {The Eurographics Association
},
ISSN = {1017-4656
},
ISBN = {},
DOI = {10.2312/egp.20181008
}
}