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Fig. 1.2 Four different
segmenting styles
of the natural media, e.g., brush and bristle size and colour variation; aspects of the
individual strokes, e.g., length, taper, curvature; and aspects of the style in which
the strokes are used, e.g., ever-decreasing circles versus parallel line fill, number of
strokes required to fill a region, etc. The images in Fig. 1.3 give a flavour of the
different types of strokes and filling mechanisms available, but this is only the tip of
the iceberg—many more are possible.
Treating different media types with different models leads to more realistic look-
ing paint strokes. However, for our purposes, treating all the natural media types
and their usage as parameterisations of the same method essentially defines a search
space of simulations, which has advantages. In particular, there are parts of the
search space which fall in between particular natural simulations, such as paints
and pencils. Hence, it was possible to specify ways of filling colour regions with
unusual strokes which don't necessarily look like they could be naturally produced.
Moreover, we were able to use search mechanisms to find natural media simulations
for specific purposes, which we used to discover novel painting styles to enhance
emotional content, as described below. Of course, these advantages would still be
present if we had separate simulation models for each natural medium, but it would
have seriously complicated the search mechanisms.
Full details of The Painting Fool's non-photorealistic rendering capabilities are
available in Colton et al. ( 2008 ). In terms of the wider project, having the ability to
turn images into painterly renditions of them enabled us to present some pictures in a
group exhibition of computer generated art in 2007. An image from that exhibition is
given in Fig. 1.4 . It forms part of a series of eight images of buildings and cityscapes
presented in the city series gallery at www.thepaintingfool.com .
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