Stereoscopy and Scene Reconstruction
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2010-12-17
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en
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Abstract
Depth perception is of great use to humans in many situations, therefore
it could be very useful for artificial systems to be able to use this capability in
their many applications. One of the most common means of deriving depth
information from two images is stereoscopy, or stereopsis. In this bachelor
thesis project a novel approach to computational stereoscopy is introduced
in the form of a two-stage model. First a very fast, but inaccurate form of
template matching (“Sloppy Matching”) is performed, which is then improved
upon by an iterative quasi-physical simulation to remove erroneous matches
(“Corrective Smoothing”).
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Faculteit der Sociale Wetenschappen