Segment a cam contour with generalized cross product

Cam contour fitting is greatly affected by data segmentation errors. Yet traditional methods are susceptible to noise and not able cope with of multiple curve type. Therefore, a new method proposed based on Generalized Cross Product (GCP), the arc cam taken as examples. Regarding series fragments, circular features each fragment transformed GCP norm vector mapping. Based robustness GCP, disturbances noises norms segmented suppressed while those its adjacent amplified in Then there sharp contrast between norms, i.e. differences 2 arcs exhibited distinctly. Thus dividing point segments can be easily identified. By this way, accurately. Most importantly, accuracy improved through comparing mappings different mapping parameters. It validated experiments that apply various type, including spline curves, has strong against noise.