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Curvature Detection using Polynomial Fitting on Local Orientation
Linköping University, Department of Electrical Engineering, Computer Vision. Linköping University, The Institute of Technology.
2000 (English)Report (Other academic)
Abstract [en]

This report describes a technique to detect curvature. The technique uses local polynomial fitting on a local orientation description of an image. The idea is based on the theory of rotational symmetries which describes curvature, circles, star-patterns etc. The local polynomial fitting is shown to be equivalent to calculating partial derivatives on a lowpass version of the local orientation. The new method can therefore be very efficiently implemented both in the singlescale case and in the multiscale case.

Place, publisher, year, edition, pages
Linköping, Sweden: Linköping University, Department of Electrical Engineering , 2000. , 31 p.
LiTH-ISY-R, ISSN 1400-3902 ; 2312
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-53351ISRN: LiTH-ISY-R-2312OAI: diva2:288546
Available from: 2010-01-21 Created: 2010-01-20 Last updated: 2014-08-27Bibliographically approved

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Johansson, Björn
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