Image stylization with a painting machine using semantic hints

Type of Publication: Journal article
URI (citable link): http://nbn-resolving.de/urn:nbn:de:bsz:352-243668
Author: Lindemeier, Thomas; Pirk, Sören; Deussen, Oliver
Year of publication: 2013
Published in: Computers & Graphics ; 37 (2013), 5. - pp. 293-301. - ISSN 0097-8493
DOI (citable link): https://dx.doi.org/10.1016/j.cag.2013.01.005
Summary:
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.
Subject (DDC): 004 Computer Science
Keywords: Non-photorealistic rendering, painterly rendering, painting machine, visual feedback, image stylization
Link to License: Terms of use
Bibliography of Konstanz: Yes

Cite This

Files in this item

[PDF]
Name: Lindemeier_243668.pdf
Size: 1.221Mb
Format: PDF
View/Open
Checksum: MD5:6c1b479b40c277ea7424dbc8e83d6854

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. Available under: doi: 10.1016/j.cag.2013.01.005

@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 Deussen, Oliver Pirk, Sören 2013-09-11T09:18:07Z Lindemeier, Thomas 2013 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 terms-of-use eng Pirk, Sören Computers & Graphics ; 37 (2013), 5. - S. 293-301

Downloads since Oct 1, 2014 (Information about access statistics)

Lindemeier_243668.pdf 429

This item appears in the following Collection(s)

Search KOPS


Browse

My Account