Computational Aesthetics in Graphics, Visualization and Imaging (2012)

Feedback-guided Stroke Placement for a
Painting Machine

Oliver Deussen       Thomas Lindemeier       Sören Pirk       Mark Tautzenberger

University of Konstanz, Germany


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.



PDF (12.6 MB)

Additional Material

[click on the images to get a bigger version]


crossref = {COMPAESTH12-proc},
author   = {Oliver Deussen and Thomas Lindemeier and Sören Pirk and Mark Tautzenberger},
title    = {{Feedback-guided Stroke Placement for a Painting Machine}},
pages    = {25-33},
URL      = {},
DOI      = {10.2312/COMPAESTH/COMPAESTH12/025-033},