Aeronautical blades are complex profiled surfaces. As one of the essentialparts of aeroengine, highprecision shape and structure detection is indispensable. Due to the complexedge curvature of complex profiled surfaces, the current point cloud registration technology can not satisfy the highprecision registration requirements. The highprecision registration technology is neededforaeroengine blade complex profiled surfaces detection. Thus, a new registration algorithm based on multiscale descriptor is proposed, which combines multiscale features with spatial angle difference threshold filtering algorithm to achieve highprecision registration of specialshaped surfaces. This method can effectively reduce mismatching points and noise points. Experimental results show that the registration algorithm has high registration accuracy and good robustnessfor complex profile surfaces of aeronautical blades.