Abstract: This paper presents a 3-D motion parameter estimation algorithm without corresponding points.It can dealwith noisy data containing Gaussian noise and outliers.A cost function represnting partial matchamong 3-D paint sets derived thus the problem of motion estimation is formulated as a global optimization and solved bya function approximation.A greal number of experimental results are given.