dc.contributor.author | Lang, Katrin | en_US |
dc.contributor.author | Alexa, Marc | en_US |
dc.contributor.editor | David Mould and Pierre Bénard | en_US |
dc.date.accessioned | 2015-06-22T07:13:30Z | |
dc.date.available | 2015-06-22T07:13:30Z | |
dc.date.issued | 2015 | en_US |
dc.identifier.uri | http://dx.doi.org/10.2312/exp.20151193 | en_US |
dc.description.abstract | Learning expressive curve styles from example is crucial for interactive or computer-based narrative illustrations. We propose a method for online synthesis of free-hand drawing styles along arbitrary base paths by means of an autoregressive Markov Model. Choice on further curve progression is made while drawing, by sampling from a series of previously learned feature distributions subject to local curvature. The algorithm requires no useradjustable parameters other than one short example style. It may be used as a custom ''random brush'' designer in any task that requires rapid placement of a large number of detail-rich shapes that are tedious to create manually. | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | I.3.3 [Computer Graphics] | en_US |
dc.subject | Picture/Image Generation | en_US |
dc.subject | Line and curve generation | en_US |
dc.title | The Markov Pen: Online Synthesis of Free-Hand Drawing Styles | en_US |
dc.description.seriesinformation | Non-Photorealistic Animation and Rendering | en_US |
dc.description.sectionheaders | Synthesis | en_US |
dc.identifier.doi | 10.2312/exp.20151193 | en_US |
dc.identifier.pages | 203-215 | en_US |