… with robust. accurate and computationally tractable methods for the automatic recovery of 3D
ellipse data … The processing paradigm relies heavily on the 2D image as a rich and robust …

… robustness to outliers. Furthermore, we tackle the issue of multiple ellipses in the input data
by … to detect improved ellipse approximate objects that are consistent with 3D ellipsoids in …

… Also, knowing the principal directions should help recovering the magnitude, which is the
subject of future research. According to the label inferred for each input ellipsoid, we have the …

… In this paper, we develop a robust ellipse fitting method … ellipse parameters by linearly
combining a subset of (“more accurate”) data points (formed from edge points) rather than all data …

… ellipses and apply a pooling technique to detect the ellipse. As we always search for a polynomial
of degree 2, this approach is more robust … the data points and the ellipse curve); based …

… ellipse or a circle in 3D space is projected to an ellipse in an image. Therefore, the extraction
of ellipses … of progressively higher levels of data description in a hierarchical approach, we …

… Even though much effort has been invested in surface description, robust … ellipse is
associated with more accurate data and will have more influence on the regression. Since data are …

… intersection neighborhood in a more robust manner. Our ellipse-PCA algorithm will be tested
… This register avoids working with execution times, which are not a reliable data, since they …

… Even if we knew the ellipses of uncertainty associated with every measurement, it would not
be possible to apply standard or robust regression techniques21'22'24-26 since the subsets …

… The task considered in this paper is the recovery of the 3D … our modified smoother weights
the data most heavily towards the … We chose to use a truncated ellipsoid, since it is easy to …