AutoGraff: A Procedural Model of Graffiti Form
The purpose of this study is to develop computational models of the style and drawing process specific to graffiti art and to develop a system that is is capable procedurally generate synthetic images that are recognizable as instances of the style under investigation. The proposed system will allow the procedural generation of graffiti-art content in several styles that will be textured on the surfaces/meshes of in-game urban environments. I hypothesise that human movement dynamics are in large part determinant of the aesthetic quality of graffiti art and are key in its perception. As a result a large part of my research is focused on the application of physiologically plausible models of hand movements in order to procedurally generate and interactively manipulate graffiti-stylised traces and shapes. The dynamic information provided by such models will facilitate the generation of realistic movements in non-playing characters or robotic systems that will actively materialize instances of synthetic graffiti.
Daniel Berio (1978) is a researcher and artist from Florence, Italy. Since a young age Daniel was actively involved in the international graffiti art scene. In parallel he developed a professional career initially as a graphic designer and later as a graphics programmer in video games, multimedia and audio-visual software. In 2013 he obtained a Masters degree from the Royal Academy of Art in the Hague, where he developed drawing machines and installations materializing graffiti -inspired procedural forms. Today Daniel is continuing his research in the procedural generation of graffiti within the IGGI PhD programme at Goldsmiths, University of London.
Home institution: Goldsmiths
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