基于保特征无参数投影的快速几何重建

Feature-Preserving and Parameterization-Free Projection for Fast Geometry Reconstruction

为了使现有的无参数化投影算法拥有更好的保特征能力,提出一种保特征的基于无参数投影的点模型几何重建算法.首先,提出一个结合联合双边滤波器的局部优化投影算子,并利用点集的空间信息和几何特征信息,有效地保持了几何模型的特征;进一步,使用八叉树剖分技术对算法进行加速,为处理大规模点云提供了支撑;此外,还给出了自适应局部支撑的计算方法.实验结果表明,文中算法比无参数化投影算法保特征、速度快.

An efficient feature-preserving and parameterization-free projection method for geometry reconstruction is proposed. Firstly, a local optimal projection operator incorporating bilateral filter is proposed, which takes both spatial information and geometric feature information into consideration and preserve well the geometric features in data. Then, an octree subdivision technique is applied to accelerate the algorithm, so that processing large-scale point cloud is possible. Finally a method to calculate the adaptive local support size for robust projection operator is provided. The experimental results show that the proposed algorithm is efficient and robust to reconstruct geometry and preserve features well.