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} }