AutoGraff: towards a computational understanding of graffiti writing and related art forms.

Berio, Daniel. 2021. AutoGraff: towards a computational understanding of graffiti writing and related art forms.. Doctoral thesis, Goldsmiths, University of London [Thesis]

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Abstract or Description

The aim of this thesis is to develop a system that generates letters and pictures with a style that is immediately recognizable as graffiti art or calligraphy. The proposed system can be used similarly to, and in tight integration with, conventional computer-aided geometric design tools and can be used to generate synthetic graffiti content for urban environments in games and in movies, and to guide robotic or fabrication systems that can materialise the output of the system with physical drawing media. The thesis is divided into two main parts. The first part describes a set of stroke primitives, building blocks that can be combined to generate different designs that resemble graffiti or calligraphy. These primitives mimic the process typically used to design graffiti letters and exploit well known principles of motor control to model the way in which an artist moves when incrementally tracing stylised letter forms. The second part demonstrates how these stroke primitives can be automatically recovered from input geometry defined in vector form, such as the digitised traces of writing made by a user, or the glyph outlines in a font. This procedure converts the input geometry into a seed that can be transformed into a variety of calligraphic and graffiti stylisations, which depend on parametric variations of the strokes.

Item Type:

Thesis (Doctoral)

Identification Number (DOI):

https://doi.org/10.25602/GOLD.00029999

Keywords:

Graffiti, computer graphics, vector graphics, human movement kinematics, calligraphy, computer aided geometric design (CAGD)

Departments, Centres and Research Units:

Computing

Date:

28 February 2021

Item ID:

29999

Date Deposited:

27 Apr 2021 14:19

Last Modified:

07 Sep 2022 17:18

URI:

https://research.gold.ac.uk/id/eprint/29999

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