Topology Reconstruction Method of α-shape Surface from Sample Points of Real Objects
A kind of sample point and physical object technology, applied in the field of product reverse engineering, can solve the problems of low reconstruction efficiency and other problems, and achieve the effect of improving correctness, improving completeness and maintaining accuracy
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Embodiment 1
[0045] Embodiment one: to Figure 15 The sample points on the surface of the mechanical parts shown in , are reconstructed using the surface topology reconstruction method described in the present invention. Figure 15 The sample point set shown contains 55685 sample points, including edge features, boundary features and free-form surfaces, and is a point set with a large degree of overall non-uniform distribution. The reconstruction method of the present invention optimizes the gain of the local samples of the curved surface. The sample point distribution information in the sparse area of sampling data is more fully obtained, which can make the adjustment of the α-shape scale threshold more accurate, and avoid the overestimation of the sample point density due to the serious deviation of the local samples of the surface from the sampled data-intensive area. It can effectively reduce the defects caused by mistaken deletion. from Figure 16 From the reconstruction results o...
Embodiment 2
[0046] Embodiment two: to Figure 17 The sample points on the surface of the real object shown in - the Rabbit point cloud model are reconstructed by using the surface topology reconstruction method described in the present invention. Figure 17 The point cloud model shown contains 34,834 samples, the overall distribution is approximately uniform, and the local area is non-uniform due to large curvature changes, and there are sharp edges on the edge of the ear, because this paper can obtain a better local surface in the case of non-uniformity samples are used in the surface topology reconstruction process, so Figure 18 The overall reconstruction results and the reconstruction effect of the ear edge are good. The number of patches in the reconstructed mesh model is 100163, and the reconstruction time is 11.82 seconds.
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