Publication Details
Overview
 
 
Ronny Hoffmann, Bart Truyen, Jan Cornelis
 

Book Anthology

Abstract 

The parameters of an elliptic contour given by a set of sampling points {xi} i=1,...,N shall be identified. The data points representing the ellipse are distorted on one hand due to image guided sampling of the points that is considered to be Gaussian. On the other hand the data contains even more severe errors due to outward inflations on certain ellipse segments. In general these faulty segments are not known and induce heavy outliers in the data. Hence the least squares solution is useless. Under the assumption that there are still enough error-free contour segments that enclose the ellipse area, it is still possible to get good approximation results by inscribing an ellipse with maximum surface area.

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