Jian-guo SHEN, San-yuan ZHANG, Zhi-yang CHEN, Yin ZHANG, Xiu-zi YE
State Key Laboratory of CAD & CG, Zhejiang University, Hangzhou 310027, China; Software College, Zhejiang University of Technology, Hangzhou 310014, China
Abstract 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.
ZOU Wan-hong, DING Zhan, YE Xiu-zi, CHEN Zhi-yang. Interactive point cloud blending by drag-and-drop[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2007, 8(10): 1633-1641.
DIAO Chang-yu, LU Dong-ming, LIU Gang. Relighting multiple color textures[J]. Journal of Zhejiang University-SCIENCE A (Applied Physics & Engineering), 2005, 6(11): 1284-1289.