Daniel Berio, Sylvain Calinon, Frederic Fol Leymarie
Dynamic Graffiti Stylisation with Stochastic Optimal Control
4th International Conference on Movement and Computing (MOCO) 2017, London, United Kingdom
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## Abstract
We present a method for the interactive generation of stylised letters, curves
and motion paths that are similar to the ones that can be observed in art forms
such as graffiti and calligraphy. We define various stylisations of a letter
form over a common geometrical structure, which is given by the spatial layout
of a sparse sequence of targets. Different stylisations are then generated by
optimising the trajectories of a dynamical system that tracks the target
sequence. The evolution of the dynamical system is computed with a stochastic
formulation of optimal control, in which each target is defined
probabilistically as a multivariate Gaussian. The covariance of each Gaussian
explicitly defines the variability as well as the curvilinear evolution of
trajectory segments. Given this probabilistic formulation, the optimisation
procedure results in a /trajectory distribution/ rather than a single path.
It is then possible to stochastically sample from the distribution an infinite
number of dynamically and aesthetically consistent trajectories which mimic the
variability that is typically observed in human drawing or writing. We further
demonstrate how this system can be used together with a simple user interface in
order to explore different stylisations of interactively or procedurally defined
letters.
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