RealPigment: Paint Compositing by Example
Inhaltsverzeichnis
Reference
Jingwan Lu, Stephen DiVerdi, Connelly Barnes and Adam Finkelstein: RealPigment: Paint Compositing by Example. In: Computational Aesthetics 2014.
DOI
http://dx.doi.org/10.1145/2630397.2630401
Abstract
The color of composited pigments in digital painting is generally computed one of two ways: either alpha blending in RGB, or the Kubelka-Munk equation (KM). The former fails to reproduce paint like appearances, while the latter is difficult to use. We present a data-driven pigment model that reproduces arbitrary compositing behavior by interpolating sparse samples in a high dimensional space. The input is an of a color chart, which provides the composition samples. We propose two different prediction algorithms, one doing simple interpolation using radial basis functions (RBF), and another that trains a parametric model based on the KM equation to compute novel values. We show that RBF is able to reproduce arbitrary compositing behaviors, even non-paint-like such as additive blending, while KM compositing is more robust to acquisition noise and can generalize results over a broader range of values.
Extended Abstract
Bibtex
@inproceedings{Lu:2014:RPC:2630397.2630401,
author = {Lu, Jingwan and DiVerdi, Stephen and Chen, Willa A. and Barnes, Connelly and Finkelstein, Adam},
title = {RealPigment: Paint Compositing by Example},
booktitle = {Proceedings of the Workshop on Non-Photorealistic Animation and Rendering},
series = {NPAR '14},
year = {2014},
isbn = {978-1-4503-3020-6},
location = {Vancouver, British Columbia, Canada},
pages = {21--30},
numpages = {10},
url = {http://doi.acm.org/10.1145/2630397.2630401 http://de.evo-art.org/index.php?title=RealPigment:_Paint_Compositing_by_Example },
doi = {10.1145/2630397.2630401},
acmid = {2630401},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {Kubelka Munk, color, compositing, paint, pigment},
}
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Links
Full Text
http://www.connellybarnes.com/work/publications/2014_realpigment.pdf
