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The accuracy and precision of curvature estimation methods

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2 Author(s)
Worring, M. ; Dept. of Math. & Comput. Sci., Amsterdam Univ., Netherlands ; Smeulders, A.W.M.

Deals with the estimation of curvature from digital image data, especially the selection of a curvature estimation procedure based on its accuracy and precision. The authors establish that almost all curvature estimation techniques from literature suffer from a severe directional inaccuracy and/or poor precision (errors depend on the method, orientation and scale ranging from 1% to more than 200%). A practical solution to the curvature estimation problem is presented

Published in:

Pattern Recognition, 1992. Vol.III. Conference C: Image, Speech and Signal Analysis, Proceedings., 11th IAPR International Conference on

Date of Conference:

30 Aug-3 Sep 1992