When defining the plane with the RANSAC we treat all points in which [absolute value of [[delta].
We evaluate the influence the changes of the percentage of inliers w and threshold value t have on the number of points in subgroup S* when using the RANSAC.
The influence the change in the number of inliers has on the results of the RANSAC and the estimated parameters of the geometrical shapes was analysed with 10000 repetitions of the calculation.
In each repetition of our search the RANSAC performed a number of iterations N, which was defined by eq.
Even though the number of outliers in S increased, the higher number of repetitions of the calculation with the use of the RANSAC provided better results for attempt 6 when compared to attempt 1 (Figs.
Despite the relatively rich literature of the use of RANSAC we have not found a research in which the authors would attempt to evaluate the quality of the obtained results.
With the RANSAC we can simply and quickly find the subgroup of points that is best fitted to the geometrical shape, however, in order to confirm the obtained results we need to repeat the calculations several times.
Hough-transform and extended RANSAC algorithms for automatic detection of 3D building roof planes from Lidar data, ISPRS Workshop on Laser Scanning 2007 and SilviLaser 2007, Espoo, Vol.
Tracking biopsy needle using Kalman filter and RANSAC algorithm with 3D ultrasound, Proceedings of the Acoustics 2012 Nantes Conference, Nantes, 231-236
Improving the robustness of time-of-flight based shear wave speed reconstruction methods using RANSAC in human liver in vivo, Ultrasound in Medicine and Biology, Vol.