Deussen, OliverLindemeier, ThomasPirk, SörenTautzenberger, MarkDouglas Cunningham and Donald House2013-10-222013-10-222012978-3-905674-43-91816-0859https://doi.org/10.2312/COMPAESTH/COMPAESTH12/025-033In 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.