Mesh sharpening via normal filtering
Jianguo Shen, Sanyuan Zhang, Zhiyang Chen, Yin Zhang⋆, Xiuzi Ye · Journal of Zhejiang University. Science A · 2009
We present a robust mesh sharpening approach to reconstructing sharp features from blended or chamfered features, even with noise and aliasing errors. Feature regions were first recognized via normal variation according to the user’s input, and then normal filtering was applied to faces of feature regions. Finally, the vertices of the feature region were gradually updated based on new face normals using a least-squares error criterion. Experimental results demonstrate that the method is effective and robust in sharpening meshes.