Matlab实现N点透视算法 上传.zip

================================== Please run the following files in matlab (recommended version: R2008a) (1) main_ordinary_3d.m % The experiment in the ordinary 3D case. % noise level 3 pixels. % number of points n= 4 ... 20 % The methods compared are DLT, EPnP, EPnP_GN, LHM and RPnP. % Details can be found in the paper. (2) main_quasi_singular.m % The experiment in the quasi-singular case. % noise level 3 pixels. % number of points n= 4 ... 20 % The methods compared are DLT, EPnP, EPnP_GN, LHM and RPnP. (3) main_planar.m % The experiment in the planar case. % noise level 3 pixels. % number of points n= 4 ... 20 % The methods compared are HOMO, LHM, SP and RPnP. % The EPnP code for planar target is not involved, because it has not been publicly released. (4) main_selecting_axis.m % The experiment on the influence of the rotation axis selection step. % The rotation axis is selected in different ways: % RPnP1: randomly select an edge % RPnP*: finding the longest in all n(n-1)/2 edges % RPnP : the default setting which randomly semples n edge and selects the longest (5) main_time.m % The experiment which tests the computational time. % LHM, EPnP, EPnP_GN and RPnP are tested. (6) main_4pt.m % The experiment in the ordinary 3D case. % noise level 0.5 ... 5 pixels. % number of points n= 4 % The methods compared are DLT, EPnP, EPnP_GN, LHM and RPnP. (7) main_5pt.m % The experiment in the ordinary 3D case. % noise level 0.5 ... 5 pixels. % number of points n= 5 % The methods compared are DLT, EPnP, EPnP_GN, LHM and RPnP. ================================= The method list: (1) ./func/RPnP.m % The RPnP algorithm by C. Xu % function [R t]= RPnP(XX,xx) % XX is the 3D coordinate of the point set. % xx is the ***normalized*** 2D coordinate of the projected point set. % R is the estimated rotation matrix. % t is the estimated translation vector. (2) ./epnp/ % The EPnP algorithm by F. Moreno-Noguer, V. Lepetit, P. Fua. (3) ./lhm/ % The LHM algorithm by Chien-Ping Lu et. al. (4) ./sp/ % The SP algorithm for planar targets by G. Schweighofer and A. Pinz.