Robust Curvature Vectors Calculation from Range Data Using ISL Method506.
Takashi Yoshimi, Fumiaki Tomita · 1994
has an ellipse-like shape of which the primary and secondary axis match the curvature vectors. We applied our nlethod to a synthesized data (ellipsoids) with synthesized random noise. The calculated vectors are compared with theoretical curvature vectors. One of other traditional methods (quadric patch) is also tested to the same data and the results are reported. These experimental results show that our method is robust with noisy data.