A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments
| dc.contributor.author | Chen, Mei-Yun | en_US |
| dc.contributor.author | Yang, Ci-Syuan | en_US |
| dc.contributor.author | Ouhyoung, Ming | en_US |
| dc.contributor.editor | Jain, Eakta and Kosinka, Jirà | en_US |
| dc.date.accessioned | 2018-04-14T18:29:51Z | |
| dc.date.available | 2018-04-14T18:29:51Z | |
| dc.date.issued | 2018 | |
| dc.description.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. | en_US |
| dc.description.sectionheaders | Posters | |
| dc.description.seriesinformation | EG 2018 - Posters | |
| dc.identifier.doi | 10.2312/egp.20181008 | |
| dc.identifier.issn | 1017-4656 | |
| dc.identifier.pages | 1-2 | |
| dc.identifier.uri | https://doi.org/10.2312/egp.20181008 | |
| dc.identifier.uri | https://diglib.eg.org:443/handle/10.2312/egp20181008 | |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | Applied computing | |
| dc.subject | Fine arts | |
| dc.subject | Fine arts | |
| dc.subject | Computing methodologies | |
| dc.subject | Neural networks | |
| dc.title | A Smart Palette for Helping Novice Painters to Mix Physical Watercolor Pigments | en_US |