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Oct 22, 2024 · A consistent estimator is proposed, based on a proper correction of the ordinary least squares estimator. The correction is explicitly given in ...
Apr 8, 2004 · Due to the quadratic nature of the ellipsoid model with respect to the measurement x, both the algebraic and the geometric fitting methods are.
Mar 14, 2024 · A consistent estimator is proposed, based on a proper correction of the ordinary least squares estimator. The correction is explicitly given in ...
A consistent estimator is proposed, based on a proper correction of the ordinary least squares estimator, which is explicitly given in terms of the true ...
Apr 8, 2004 · A consistent estimator is proposed, based on a proper correction of the ordinary least squares estimator. The correction is explicitly given in ...
In this paper, we present techniques for ellipsoid fitting which are based on minimizing the sum of the squares of the geometric distances between the data ...
In this paper we examine the problem of reconstructing a (possibly dynamic) ellipsoid from its (possibly inconsistent) orthogonal silhouette projections. We ...
Ellipses, for which the sum of the squares of the distances to the given points is minimal will be referred to as “best fit” or “geometric fit”, and the ...
Jun 14, 2023 · To both fix the scale and maintain consistency, we can enforce the discriminant to be -1. Note that this constraint is quadratic in terms of ...
Determining best fit ellipsoid is a nonlinear least squares problem which in principle can be solved by using the Levenberg-Marquardt (LM)algorithm. Generally, ...