In this paper we present and evaluate painterly rendering techniques that work within a visual feedback loop of eDavid, our painting robot. The machine aims at simulating the human painting process. Two such methods are compared for different objects. One uses a predefined set of stroke candidates, the other creates strokes directly using line integral convolution. The aesthetics of both methods are discussed, results are shown.
@inproceedings{Deussen2012FeedbackguidedStroke,
acmid = {2328894},
address = {Aire-la-Ville, Switzerland, Switzerland},
author = {O. Deussen, T. Lindemeier, S. Pirk, M. Tautzenberger},
booktitle = {Proceedings of the Eighth Annual Symposium on Computational Aesthetics in Graphics, Visualization, and Imaging},
doi = {10.2312/COMPAESTH/COMPAESTH12/025-033},
isbn = {978-1-4503-1584-5},
location = {Annecy, France},
numpages = {9},
pages = {25--33},
publisher = {Eurographics Association},
series = {CAe '12},
title = {Feedback-guided Stroke Placement for a Painting Machine},
url = {http://graphics.uni-konstanz.de/publikationen/Deussen2012FeedbackguidedStroke},
year = {2012}
}