The weighted median plays a central role in the least absolute deviations (LAD). We propose nonlinear regression using Our objective function $f(a, l, s)$ is non-convex with respect to parameters a, s, and such that for each fixed s minimizer of $a\to f (a, $med(x(l, s), w(l, s))$ sequence $x(l, endowed weights $w(l, (all depend on $l$, $s$). analyse compare theoretically minimizers $(a, s)\to ...

Abstract In recent years, the traditional ICP algorithm has high requirements for initial position of point clouds, and low registration ability clouds with overlap. The Microsoft Kinect depth sensor was used to obtain cloud data target object from real scene. Then, pre-processing such as segmentation, filtering down sampling. coarse registration, feature sampling consistency make a better posi...