Suppose you're trying to navigate an unfamiliar section of a big city,
and you're using a particular cluster of skyscrapers as a reference
point. Traffic and one-way streets force you to take some odd turns, and
for a while you lose sight of your landmarks. When they reappear, in
order to use them for navigation, you have to be able to identify them
as the same buildings you were tracking before -- as well as your
orientation relative to them. A new algorithm for determining the
orientation of objects could aid robots in navigation, scene
understanding.
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