摘要(英) |
The surface model is generally unable to describe complicated geometric shape or tiny feature object quickly and exactly. The triangular model is an alternative to express it in a direct and simple method. Because of the complete topology structure and simple computation, the triangular model plays an important role in industrial application. It also used wildly in computer graphics, finite element analysis, rapid prototyping, reverse engineering, and CAD/CAM field, the STL format is a common file exchange format. In reverse engineering, most of triangular models are generated from various laser scanner by collecting points from the model surface, however, because of environment or equipment precision, noise is produced which increases the difficulties in follow-up reverse procedure. Therefore, a pre-processing of the meshes is very important. This study employs mesh smoothing function in a reverse engineering software to test and evaluate its applications and employs other mesh smoothing methods to compare each other. The smoothing procedure and the method to improve mesh quality are discussed, too. |
參考文獻 |
[1]G. Taubin, “A Signal Processing Approach to Fair Surface Design”, Proceedings of ACM SIGGRAPH 1995, pp. 351-358, 1995.
[2]M. Desbrun, M. Meyer, P. Schröder and A.Barr, “Implicit Fairing of Irregular Meshes Using Diffusion and Curvature Flow”, Proceedings of ACM SIGGRAPH 1999, pp. 317-324, 1999.
[3]M. Meyer, M. Desbrun, P. Schroder and A. H. Barr, “Discrete Differential-Geometry Operators for Triangulated 2-Manifolds”, Visualization and Mathematics III, pp. 35-57, 2002.
[4]H. Yagou, Y. Ohtake and A. Belyaev, “Mesh Smoothing via Mean and Median Filtering Applied to Face Normals”, Proceedings of Geometric Modeling and Processing, pp. 124-131, 2002.
[5]Y. Ohtake, A . Belyaev, H. P. Seidel, “Mesh Smoothing by Adaptive and Anisotropic Gaussian Filter”, Vision, Modeling and Visualization 2002, pp. 203-210, 2002.
[6]S. Fleishman, I. Drori and D. Cohen-Or, “Bilateral Mesh Denoising”, Proceedings of ACM SIGGRAPH 2003, pp. 950-953, 2003.
[7]T. Jones, F. Durand and M. Desbrun, “Non-Iterative, Feature Preserving Mesh Smoothing”, Proceedings of ACM SIGGRAPH 2003, pp. 943-949, 2003.
[8]K. W. Lee, W. P. Wang, “Feature-Preserving Mesh Denoising via Bilateral Normal Filtering”, 9th International Conference on Computer Aided Design and Computer Graphics, pp. 275-280, 2005.
[9]R. Bade, J. Haase, B. Preim, “Comparison of Fundamental Mesh Smoothing Algorithms for Medical Surface Models”, Simulation and Visualization, pp. 289-304, 2006.
[10]K. P. Beier, Y. Chen, “Highlight-Line Algorithm for Realtime Surface-Quality Assessment”, Computer Aided Design Vol. 26, pp. 268-277, 1994.
[11]C. Y. Chen, K.Y. Cheng, “A Sharpness Dependent Filter for Mesh Smoothing”, Computer Aided Geometric Design Vol. 22, pp. 376-391, 2005.
[12]張義宏, 光學掃描量測資料之二次曲面特徵分離, 國立中央大學機械工程研究所碩士論文, 2006.
[13]許聖函, 三角網格資料定位整合與平滑性補洞之研究, 國立中央大學機械工程研究所碩士論文, 2005. |