计算机技术与发展2011，Vol.21Issue(6)：85-88,94,5.
支持向量学习机在点云去噪中的应用
Application of Support Vector Machine in Point Clouds Denoising
摘要
Abstract
SVM represented many unique advantages in many applications, such as solving the problem of nonlinear, high dimension pattern recognition and small sample problem. A method was promoted in this paper. It was removing point clouds using SVM sorting technique. It could be generalized to test and estimate the big scale data by training the small sample. SVM classification method was used to train, test, classify the point clouds data sample, so that it could achieve to the goal of denoising. The experiment showed that this method could remove the noise effectively while preserving the point clouds information relative completely.关键词
点云/支持向量机/去噪/分类Key words
point clouds/ support vector machine/ denoising/ classify分类
信息技术与安全科学引用本文复制引用
张琴,蔡勇..支持向量学习机在点云去噪中的应用[J].计算机技术与发展,2011,21(6):85-88,94,5.基金项目
国家自然科学基金项目(10576027) （10576027）
