求翻译：尽管如此，LOP算法在处理局部特征较为多，即局部点云密度不均的模型时，难以同时保证重采样模型既具有高度逼近性又能有均匀的分布，因此对重采样模型进行泊松碟采样以解决此问题。实验结果表明，含噪粗糙的原始采样三维点云数据经过LOP算法重采样后生成的新模型具有良好的逼近性、光顺性，点云分布也较均匀。是什么意思？

Nevertheless, the the lop algorithm in dealing with local features more and more local point cloud density model of uneven, it is difficult to ensure that the resampling model has both a high degree of approximation can have a uniform distribution of the resampling model Poisson disc sampling in ord

Nevertheless, LOP algorithm to deal with local characteristics, and that is more than local point cloud density does not have the same model, it is difficult to ensure that the sample model has both a high degree of approximation to a uniform distribution of the sample, the Poisson model bow samplin

For all this, the LOP algorithm are many in the processing partial characteristic, when namely partial spot cloud density uneven model, simultaneously guarantees the heavy sampling model both to have with difficulty approaches the nature and to be able highly to have the even distribution, therefore

However, LOP algorithm in dealing with local features, comparatively, locally uneven density of the point cloud model, difficult at the same time ensure that resampling model with a high degree of approximation and can have a uniform distribution, Poisson disk sampling the sample model to solve this