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Object Detection in Flatland

Authors: Nataa Jovanovic; Jan Korst; Verus Pronk;

Object Detection in Flatland

Abstract

Given a rectangle with emitters and receivers on its perimeter, one can detect objects in it by determining which of the line segments between emitters and receivers are blocked by objects. The problem of object detection can be formulated as the problem of finding all non-empty n-wedge intersections, where a wedge is defined by a consecutive set of blocked line segments from the same emitter. We show that for a given set of wedges, one emanating from each emitter, we can determine the intersection (i.e., the convex polygon) in time linear in the number of wedges, assuming some given ordering of the wedges. We present two algorithms that efficiently determine all non-empty n-wedge intersections, assuming that objects are sufficiently large.

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    popularity
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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