Image stylization with a painting machine using semantic hints

Lindemeier, Thomas; Pirk, Sören; Deussen, Oliver

doi:10.1016/j.cag.2013.01.005

Image stylization with a painting machine using semantic hints

Publikationstyp:	Zeitschriftenartikel
URI (zitierfähiger Link):	http://nbn-resolving.de/urn:nbn:de:bsz:352-243668
Autor/innen:	Lindemeier, Thomas; Pirk, Sören; Deussen, Oliver
Erscheinungsjahr:	2013
Erschienen in:	Computers & Graphics ; 37 (2013), 5. - S. 293-301. - ISSN 0097-8493
DOI (zitierfähiger Link):	https://dx.doi.org/10.1016/j.cag.2013.01.005
Zusammenfassung:	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.
Fachgebiet (DDC):	004 Informatik
Schlagwörter:	Non-photorealistic rendering, painterly rendering, painting machine, visual feedback, image stylization
Link zur Lizenz:	Deposit-Lizenz
Universitätsbibliographie:	Ja

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LINDEMEIER, Thomas, Sören PIRK, Oliver DEUSSEN, 2013. Image stylization with a painting machine using semantic hints. In: Computers & Graphics. 37(5), pp. 293-301. ISSN 0097-8493

@article{Lindemeier2013Image-24366, title={Image stylization with a painting machine using semantic hints}, year={2013}, doi={10.1016/j.cag.2013.01.005}, number={5}, volume={37}, issn={0097-8493}, journal={Computers & Graphics}, pages={293--301}, author={Lindemeier, Thomas and Pirk, Sören and Deussen, Oliver} }

Lindemeier, Thomas Deussen, Oliver deposit-license Deussen, Oliver Pirk, Sören 2013-09-11T09:18:07Z 2013 Lindemeier, Thomas 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. 2014-08-31T22:25:04Z Image stylization with a painting machine using semantic hints eng Pirk, Sören Computers & Graphics ; 37 (2013), 5. - S. 293-301