Feature Extraction from the Mesh Model with Some Noise

This paper presents a new feature extraction method on the mesh model with some noise. Firstly, we compute Mesh saliency value of every vertex on the mesh model. Then we set it as the weighted factor and employ the weighted bi-quadratic Bezier surface to fit the vertex and its neighborhood by the least square method. So we obtain the smoothed principal curvature and principal direction of every vertex, which can be used for detecting and extracting the feature point. The advantage of our method is that we can achieve the better feature extraction result from the mesh model with some noise.