随着三维物体扫描仪的广泛应用,如何对扫描出来的模型进行有效、鲁棒、快速的操作已经成为当今计算机图形学中的一个热门话题.通过在扫描模型每个采样点处拟合一个二次型曲面,设计了一个鲁棒的滤波函数——三边滤波函数;应用该函数分别对模型表面上每个点的法线、曲率和位置进行滤波;通过对曲率的滤波结果进行优化,可有效地保持三维模型表面上的特征.该算法不要求已知模型中顶点之间的连接关系,并可应用于网格模型或点模型的光顺去噪处理.
With the wide application of 3D scanning technology, how to model the target object based on the discrete scanning data in a robust and efficient way has become one of the research topics in Computer Graphics. This paper proposes a robust filter function, called trilateral filter function, to filter the noises in the domains of surface curvature, normal and position at each sample point while the local surface is fitted in a quadratic form. By optimizing the filtering result of curvature tensor, our approach is capable of preserving the feature on the target model. Since it requests no connection information between the adjacent sample points, the proposed approach is applicable to both mesh and point models.