基于SVM的点云模型识别技术的研究

Point clouds model recognize method based on the recognize technology of support vector machine

提出了一种基于支持向量机统计识别技术的点云曲面重构法,直接从点云中识别出模型并进行模型替代,从而很大程度上减小了数据量并且保证了建模精度。实验证明,此方法具有较好的效果,并有误差小、速度快等优点。

An efficient method for point clouds model recognize based on the recognize technology of support vector machine is presented. The point clouds model is recognized from the point sets and replaced by a new model,so the data mount of the point clouds is reduced and the modeling accuracy is guaranteed. Through the experiment,a nice effect is acquired,with the benefits of excellent error accuracy, high efficiency.