1results about How to "Effective registration" patented technology

The application belongs to the field of computer vision three-dimensional point cloud registration, and particularly relates to a point cloud registration method based on registration error zero norm minimization. * ; using l2 norm to quantify the overall fitting error of the fitting error of each relative point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K r ; using l2 norm to quantify the overall fitting error of the fitting error of each relative point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K * ; using l2 norm to quantify the overall fitting error of the fitting error of each relative point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K * ; using l2 norm to quantify the overall fitting error of the fitting error of each relative point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K t ; using l2 norm to quantify the overall fitting error of the fitting error of each relative point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K * ; using l2 norm to quantify the overall fitting error of the fitting error of each relative * point pair in three spatial dimensions, and according to the matching point pair corresponding to the minimum K The application can realize efficient point cloud registration in the presence of a large number of outliers.