基于无组织结构数据集的三维表面重建算法

三维表面重建技术具有广泛的应用前景,通用高效的重建算法是迫切需要研究的课题之一。由于三维点集分布不均匀,目前通用的基于无组织结构数据集的重建算法欠缺稳定性,应用范围受到了限制。文中提出了分布不均匀补偿的近邻点确定算法,提高了算法的稳定性和可靠性,扩展了基于无组织结构数据集表面重建算法的应用范围。实验表明通过分布不均匀补偿的离散数据集三维表面重建算法具有很好的重建效果。

A New Approach to 3D Object Surface Reconstruction from Unorganized Points

3D surface reconstruction has numerous applications, and the general algorithms for reconstruction are widely studied. Because of uneven distribution of 3D scattered points, the current general algorithms are not always robust. In this paper we present a new method to calculate the k-neighborhood of each point to balance the uneven distribution, which improves the robustness and reliability of these approaches. The experimental results show that our method is effective.