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基于点云数据的栅格化和法向量估计提出一种新的点云压缩方法,数据处理由Matlab7.1编程实现。试验结果表明,使用该方法可以获得较好的压缩效果,由于该方法顾及了扫描点之间的法向量关系,所以能更好地保留点云特征,防止压缩过程中特征信息的丢失。
Based on point cloud data rasterization and normal vector estimation, a new point cloud compression method is proposed. The data processing is realized by Matlab7.1. Experimental results show that this method can obtain better compression effect. Because the method takes into account the normal vector relationship between scan points, it can better preserve the point cloud features and prevent the loss of feature information during compression.