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 and their semantics-driven combination 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 these methods are discussed and results are shown.
@article{Lindemeier2013ImageStylizationPainting,
acmid = {2493792},
address = {Elmsford, NY, USA},
author = {T. Lindemeier, S. Pirk, O. Deussen},
doi = {10.1016/j.cag.2013.01.005},
issn = {0097-8493},
issue_date = {August, 2013},
journal = {Computers and Graphics},
keywords = {Image stylization, Non-photorealistic rendering, Painterly rendering, Painting machine, Visual feedback},
month = {aug},
number = {5},
numpages = {9},
pages = {293--301},
publisher = {Pergamon Press, Inc.},
title = {Image Stylization with a Painting Machine Using Semantic Hints},
url = {http://graphics.uni-konstanz.de/publikationen/Lindemeier2013ImageStylizationPainting},
volume = {37},
year = {2013}
}