Mesh sharpening via normal filtering
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 r...
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| Veröffentlicht in: | Journal of Zhejiang University. A. Science 2009-04, Vol.10 (4), p.546-553 |
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| container_issue | 4 |
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| container_title | Journal of Zhejiang University. A. Science |
| container_volume | 10 |
| creator | Shen, Jian-guo Zhang, San-yuan Chen, Zhi-yang Zhang, Yin Ye, Xiu-zi |
| description | 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. |
| doi_str_mv | 10.1631/jzus.A0820505 |
| format | Article |
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| subjects | Civil Engineering Classical and Continuum Physics Engineering Industrial Chemistry/Chemical Engineering Mechanical Engineering 功能区域 最小二乘 正常人 滤波 特征区域 网通 误差标准 锐化 |
| title | Mesh sharpening via normal filtering |
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