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} }