An approach to computer-supported cartooning is described that aims at
optimizing the image-related working process by introducing computer-
support in the drawing and painting stages of traditional cartoon prod
uction, in particular, allowing automatic coloring of a sequence of di
gitized images. This is achieved by using a shape-matching algorithm t
o evaluate the similarity of image regions and by performing an optimu
m region assignment to identify the corresponding ones and propagate t
he color information through the image sequence. In order to maintain
the use of traditional drawing tools, the first step in the proposed s
ystem architecture is the processing of scanned animators' drawings to
enhance their quality and extract meaningful information. Two differe
nt system modules allow either manual coloring of images or computer-a
ssisted automatic painting of an image sequence. Additional modules al
low the construction of a vector representation for the images, the ge
neration of in-betweens, and the composing of each cartoon frame. The
first stages of the system's architecture - image preprocessing, paint
ing and vectorization - are presented. Special emphasis is placed on t
he fundamental ideas behind the computer-assisted painting and vectori
zation steps. The competitiveness of the approach, which requires no s
pecial hardware or high-performance workstation, is shown.