NOTE: Assessing Error of Fit Functions for Ellipses
نویسنده
چکیده
j51 ej . A variety of error of fit (EOF) functions have been proposed for use in the least-square fitting of ellipses. We describe four measures for assessing the suitability of such EOFs, quantifying Thus, many different ellipse estimation techniques detheir linearity, curvature bias, asymmetry, and overall goodpend on a suitable error term, although there has been ness. These measures enable a better understanding to be gained little comparison between them (but see [3, 4, 8]). The of the individual merits of the EOF functions. 1996 Academic Euclidean distance from Xj to the ellipse boundary would Press, Inc. be a good choice for ej , but requires solving a quartic equation which may have up to four solutions, requiring the one with the minimum distance to be determined [10].
منابع مشابه
Analysing Error of Fit Functions for Ellipses
We describe several established error of fit (EOF) functions for use in the least square fitting of ellipses, and introduce a further four new EOFs. Four measures are given for assessing the suitability of such EOFs, quantifying their linearity, curvature bias, asymmetry, and overall goodness. These measures enable a better understanding to be gained of the individual merits of the EOF functions.
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We describe several established error of t (EOF) functions for use in the least square tting of ellipses, and introduce a further four new EOFs. Four measures are given for assessing the suitability of such EOFs, quantifying their linearity, curvature bias, asymmetry, and overall goodness. These measures enable a better understanding to be gained of the individual merits of the EOF functions.
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