AutoGraff: A Procedural Model of Graffiti Form. (Industry placement at Media Molecule)
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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