An important part of stereo vision consists of finding and matching points in two images which correspond to the same physical element in the scene. This document shows that zeros of curvature of curves are perspective invariants and can therefore be used to find corresponding points. These can be used to help solve the registration problem and to obtain the correct depth when a curve enters the forbidden zone. These are also relevant to theories for representing image curves. The stability of these zeros of curvature are considered. (Author).
"An important part of stereo vision consists of finding and matching points in two images which correspond to the same physical element in the scene. This document shows that zeros of curvature of curves are perspective invariants and can therefore be used to find corresponding points. These can be used to help solve the registration problem and to obtain the correct depth when a curve enters the forbidden zone. These are also relevant to theories for representing image curves. The stability of these zeros of curvature are considered. (Author)."@en
MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB.
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Massachusetts Institute of Technology. Artificial Intelligence Laboratory.
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Whitaker College. Center for Biological Information Processing.
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Whitaker College of Health Sciences, Technology, and Management. Center for Biological Information Processing.
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