A Method of Machining Trajectory Planning Based on Multi‐View Stereo Vision and Color Regional Growth

exceeding 0.94% and 30% lower root mean square error (RMSE) than polynomial and standard B-spline methods. Real machine grinding experiments validate the method's feasibility, demonstrating precise localization and effective material removal along planned trajectories. The proposed approach addresses critical challenges in local grinding of complex curved surfaces, offering significant practical value for aerospace manufacturing.