According to the in-situ printing track
planning method provided by the invention, an integrated
point cloud data processing flow is designed after 3D scanning, so that manual intervention is reduced; the LSCM
algorithm and the ARAP
algorithm are respectively utilized to carry out plane parameterization and dimension reduction on the three-dimensional triangular mesh so as to reduce the implementation difficulty and improve the path planning efficiency, and the two methods are mutually verified so as to ensure the parameterization effect; solving a grid
correspondence problem by utilizing vertex topology uniqueness, and designing a dynamic reasoning mechanism, namely, when fingerprints are not completely unique, gradually deducing to global correspondence through limited vertex corresponding information in a triangle to adapt to uncertainty of defective grid information; a defective
skull layering path is integrally generated through input
bone tissue parameters and curved surface defect grids, and the structural characteristics of an original
skull are simulated. The whole process of the method from
point cloud preprocessing to
path generation is automatic, intervention is reduced, response is quick,
adaptation individuation is improved, and
skull tissue
function recovery is promoted through bionic design.