Three Main Concerns in Sketch Recognition and an Approach to Addressing Them
James V. Mahoney and Markus P.J. Fromherz
Abstract
This paper discusses the problem of matching models of curvilinear
configurations to hand-drawn sketches. It collects observations from
our own recent research, which focused initially on the domain of
sketched human stick figures in diverse postures, as well as related
computer vision literature. Sketch recognition, i.e., labeling strokes
in the input with the names of the model parts they depict, would be a
key component of higher-level sketch understanding processes that
reason about the recognized configurations. A sketch recognition
technology must meet three main requirements. It must cope reliably
with the pervasive variability of hand sketches, provide interactive
performance, and be easily extensible to new configurations. We argue
that useful sketch recognition may be within the grasp of current
research, if these requirements are addressed systematically and in
concert.
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