Scale Adaptive Clustering of Multiple Structures.

Xiang Yang(1), Peter Meer(2)
(1)Dept. of Mechanical and Aerospace Engineering
(2) Dept. of Electrical and Computer Engineering
Rutgers University, NJ 08854, USA

We propose the segmentation of noisy datasets into Multiple Inlier Structures with a new Robust Estimator (MISRE). The scale of each individual structure is estimated adaptively from the input data and refined by mean shift, {\it without} tuning any parameter in the process, or manually specifying thresholds for different estimation problems. Once all the data points were classified into separate structures, these structures are sorted by their densities with the strongest inlier structures coming out first. Several 2D and 3D synthetic and real examples are presented to illustrate the efficiency, robustness and the limitations of the MISRE algorithm., Can be seen in the archive too as 1709.09550.
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