In view of the increasing demand for airborne blade measurement, an online laser detection experimental platform is established, and a laser measurement data acquisition system is developed. The collected scattered point cloud data are effectively reduced, and an incident tilt angle compensation strategy is proposed. Based on the UG platform, the grip language is used to realize the fast extraction of the theoretical contour. The basic particle swarm optimization algorithm is used to explore the optimal pose matching of the measured point set based on the local contour and the global contour. The experimental results show that the optimal solution of pose matching can be obtained by selecting the global contour. The particle swarm optimization algorithm is improved and the pose matching motion parameters are solved. The results show that, the computational accuracy is significantly improved compared with that by the basic particle swarm optimization algorithm.