To make the linear array camera calibration more accurate and convenie nt,a novel calibration technique to determine the position,orientation and inner parameters of linear array cameras is proposed. This calibration technique uses a laser tracker to measure the pattern’s positi on and orientation.The 3-D coordinates of the feature points on the pattern are obtained based on cross-ra tio invariance and spatial coordinate transformation.A distortion model is built to correct the distortion generated in the projecting process,so the position accuracy of the image point is improved.Then parameter s are estimated by a nonlinear optimization algorithm.In this method,the pattern doesn′t need to mov e along a fixed axis strictly. And the pattern can be placed freely in the field of view of the linear array ca mera,which makes this calibration method become more flexible and accurate.In addition,the pattern i s uniformly placed in the whole field of view,which can describe the linear array camera model more accur ately.Finally,the calibration method is tested by both simulation and experiment.Both the simulation results and the experimental results show that this calibration method is feasible and robust.T he root mean square error of re-projected points is less than 0.21pixel.