Registration of Point Clouds with Feature Extraction Based on Moving Least-Squares

Abstract

In reverse engineering such as surface reconstruction, to solve the registration of point clouds of laser radar problem, a method based on moving least-squares was conducted to make feature extraction of target ball and then established linear equations to calculate the coordinate of the ball's center based on characteristic curves. Lastly, registration of point clouds was conducted based on four coordinates of the balls' centers. Experimental result shows that the method can improve the computing precision of the coordinate of the ball's center and the error of registration is in degree of millimeter based on moving least-squares. The accuracy is high and satisfies the engineering demand.