【摘要】 重构凸台、型腔、拉伸面、回转面这类特征的关键是重建描述其外形的平面轮廓线.由于测量数据点具有密集、无序的特点,确定轮廓草图平面后,不能直接对数据点进行参数化和样条线拟合.文中对基于密集数据点的轮廓线的重建技术进行了探讨,提出了首先在草图平面上提取轮廓线的“粗边界”点,然后对数据点进行细化和参数化,最后实现B样条表示的轮廓线重建方法.实例结果表明,文中方法有效地解决了此类特征轮廓线的重建问题.更多还原

【Abstract】 The reconstruction of such features as protrusion, pocket, extrusion and revolution depends on the reconstruction the section profiles describing the feature shapes. As being dense and out-of-order, the collected data points cannot be directly parameterized and fitted by spine curve after the profile sketch plane is determined. This paper addresses the profile reconstruction based on dense data points. In addition, a novel approach is proposed. By this approach, the “thick boundary” of the section profile is firstly extracted in the profile sketch plane, and the obtained data points are then thinned and parameterized, thus implementing the reconstruction of the section profile represented by the B-spline. Experimental results prove that the proposed method can effectively reconstruct the profiles with the above-mentioned features.更多还原