JOURACA_SP_2017
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Automatic Difference Detection between Similar<br />
Scenes Captured in Non-Identical Images<br />
Jacob Maynard<br />
Abstract<br />
Spot the Difference type puzzles<br />
are problems where two similar<br />
images are to be compared, and<br />
the object of the puzzle is to locate<br />
all of the differences between<br />
the two photos. Trivial versions of<br />
these problems can be solved automatically<br />
with little effort.<br />
However, a nontrivial puzzle has<br />
too much noise to solve in such a<br />
simple manner. In this paper, a<br />
method for automatically solving<br />
nontrivial versions of these puzzles<br />
will be presented. The strategy<br />
proposed involves using color<br />
grouping and edge detection algorithms<br />
to break both images into<br />
component pieces, and creating a<br />
list describing the objects and<br />
their locations on each image.<br />
These lists can then be compared,<br />
thus identifying the differences.<br />
Department of Computer<br />
Science<br />
Computer Science<br />
Mentor: Michael Doran<br />
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