Further Five-Point Fit Ellipse Fitting
نویسندگان
چکیده
منابع مشابه
Further Five Point Fit Ellipse Fitting
The least squares method is the most commonly used technique for fitting an ellipse through a set of points. However, it has a low breakdown point, which means that it performs poorly in the presence of outliers. We describe various alternative methods for ellipse fitting which are more robust: the Theil-Sen, least median of squares, Hilbert curve, and minimum volume estimator approaches. Testi...
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For fitting an ellipse to a point sequence, ML (maximum likelihood) has been regarded as having the highest accuracy. In this paper, we demonstrate the existence of a “hyperaccurate” method which outperforms ML. This is made possible by error analysis of ML followed by subtraction of high-order bias terms. Since ML nearly achieves the theoretical accuracy bound (the KCR lower bound), the result...
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We propose a new method that always fits an ellipse to a point sequence extracted from images. The currently known best ellipse fitting method is hyper-renormalization of Kanatani et al., but it may return a hyperbola when the noise in the data is very large. Our proposed method returns an ellipse close to the point sequence by random sampling of data points. Doing simulation, we show that our ...
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ژورنال
عنوان ژورنال: Graphical Models and Image Processing
سال: 1999
ISSN: 1077-3169
DOI: 10.1006/gmip.1999.0500