There are a lot of joint structures on the surface of aircraft skin

and their quality has an important influence on the performance

life and reliability of aircraft. At present

there exist some problems such as large amount of data

low efficiency of data processing and difficulty at the data processing stage of the point cloud data of skin seam structure. A point cloud segmentation method of aircraft skin seam structure driven by measurement position points is proposed to improve the calculation efficiency of seam parameters. The seam edge curve features of the skin theoretical model are extracted and discretized into measured position points

which guide the construction of the space bounding box and drive the local segmentation of the point cloud data. The experimental results show that this method can achieve good segmentation effect for the point cloud of the seam structure.