提出一种新的点云特征检测算子——直线截距比特征检测算子。根据相邻点之间的几何关系提出直线截距比,构建了特征筛选条件函数,利用关于点距的高斯函数对特征筛选条件函数进行修正。实验结果表明,随着模型中噪声强度的增加,所提算法的特征误识别率更低。所提算法能快速、准确地筛选出特征点,且具有良好的抗噪能力和更强的特征识别能力。

A new concept of point-cloud feature detection operator called linear intercept ratio feature detection operator was introduced in this paper. Herein, the linear intercept ratio was defined based on the geometric relation between the adjacent points to construct the function of feature point extraction modified by the Gaussian function of the distance between the points. The experimental results denote that the proposed method exhibits a decreased error recognition rate with the increase of the noise intensity in the model. Further, the proposed method can rapidly and accurately screen out the feature points, and exhibits a good anti-noise capability and an enhanced feature recognition ability.