26 February 2010 Solid model reconstruction from triangular meshes
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Proceedings Volume 7546, Second International Conference on Digital Image Processing; 754610 (2010) https://doi.org/10.1117/12.856004
Event: Second International Conference on Digital Image Processing, 2010, Singapore, Singapore
This paper presents an approach to reconstruct solid models from triangular meshes of STL files. First, suitable slicing planes should be selected for extracting parallel intersection contours, which will be used for solid model reconstruction. Usually, a suitable flat region of triangular meshes of the STL model is selected as the bottom surface, and it can be fitted into a plane from the selected flat region. The flat region is separated by a mesh segmentation method, which uses a specified small threshold dihedral angle to divide all triangular facets into separated regions. Next, a series of parallel slicing contours are obtained by cutting the STL model through specified parallel cutting planes. Slicing contours are originally composed of a lot of line segments, which should be simplified and refitted into 2D NURBS curves for data reduction and contour smoothing. The number of points on each slicing contour is reduced by comparing the variation of included angles of each two adjacent line segments. Reduced points of each slicing contour are fitted into a NURBS curve in commercial CAD software. Finally, with a series of parallel 2D NURBS curves, the solid model of the STL facets is established by loft operations supplied in almost all popular CAD software. The established solid model can be used for other post processing such as finite element mesh generation.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien-Tung Chung, Tien-Tung Chung, Li-Chang Chuang, Li-Chang Chuang, Jhe-Wei Lee, Jhe-Wei Lee, Shun-Hsiung Hsu, Shun-Hsiung Hsu, } "Solid model reconstruction from triangular meshes", Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754610 (26 February 2010); doi: 10.1117/12.856004; https://doi.org/10.1117/12.856004


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