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Corner detection using Chebyshev fitting-based continuous curvature estimation
Extensive contour-based corner detection methods have been proposed to estimate the curvature of a planar curve and most of them estimated it in digital spaces. However, the curvature should be intuitively continuous. Presented is a novel approach which addresses the corner detection issue by employ...
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Published in: | Electronics letters 2015-11, Vol.51 (24), p.1988-1990 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Request full text |
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Summary: | Extensive contour-based corner detection methods have been proposed to estimate the curvature of a planar curve and most of them estimated it in digital spaces. However, the curvature should be intuitively continuous. Presented is a novel approach which addresses the corner detection issue by employing the Chebyshev polynomial fitting to estimate the curvature in a continuous way. Experimental results demonstrate that the approach achiever a promising performance in comparison with three representative corner detectors based on discrete curvature estimation and two other state-of-the-art methods. |
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ISSN: | 0013-5194 1350-911X 1350-911X |
DOI: | 10.1049/el.2015.2491 |