海量散乱点云快速压缩算法

方芳, 程效军

方芳, 程效军. 海量散乱点云快速压缩算法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(11): 1353-1357.
引用本文: 方芳, 程效军. 海量散乱点云快速压缩算法[J]. 武汉大学学报 ( 信息科学版), 2013, 38(11): 1353-1357.
FANG Fang, CHENG Xiaojun. A Fast Data Reduction Method for Massive Scattered Point Clouds Based on Slicing[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1353-1357.
Citation: FANG Fang, CHENG Xiaojun. A Fast Data Reduction Method for Massive Scattered Point Clouds Based on Slicing[J]. Geomatics and Information Science of Wuhan University, 2013, 38(11): 1353-1357.

海量散乱点云快速压缩算法

基金项目: 国家自然科学基金资助项目(40971241)
详细信息
    作者简介:

    方芳,硕士生,主要从事地面三维激光扫描数据处理和三维建模研究。

  • 中图分类号: P237.3

A Fast Data Reduction Method for Massive Scattered Point Clouds Based on Slicing

  • 摘要: 提出基于切片的海量散乱点云快速压缩方法,对点云进行分层生成切片点云,对每层切片点云使用弦高差法筛选利于表现形状的重要点,实现快速压缩。通过实验讨论参数对压缩结果的影响,并给出最佳参数值选择依据。对本方法和传统方法的压缩效果进行对比,证实本方法在实现高效压缩的同时能保留大量的特征细节。
    Abstract: Abstract: This paper puts forward a high-efficiency data reduction method for massive scattered point clouds.  The proposed method is based on slicing technology.  Firstly,the point cloud is subdivided into several layers,then a reference plane is set for each layer,and the points set within each layer are projected to the relevant plane,thus slicing the point cloud for each layer.  Second,points that are important for the shape expression for each sliced point cloud are extracted using a chordal deviation method.  Two key parameter ,layer number and chordal deviation threshold are discussed,concluding is made that the chordal deviation threshold must be smaller than the minimum average chordal deviation for each slice. Reduction results for both the proposed method and the traditional methods are compared in an experiment.  Results show that the proposed method achieves high-quality reduction results in an efficient manner with wet preserved features and details.
     
  • [1] 阳凡林刘经南,赵建虎,. 基于数据融合的侧扫声纳图像预处理[J]. 武汉大学学报(信息科学版). 2004(05) [2] 阳凡林吴自银,独知行,金翔龙,. 多波束声纳和侧扫声纳数字信息的配准及融合[J]. 武汉大学学报(信息科学版). 2006(08) [3] 康牧王宝树,. 一种基于图像增强的图像滤波方法[J]. 武汉大学学报(信息科学版). 2009(07) [4] 唐朝伟肖健,邵艳清,苗光胜,. 一种改进的SIFT描述子及其性能分析[J]. 武汉大学学报(信息科学版). 2012(01) [5] 王小睿吴信才,. 遥感多图象的自动配准方法[J]. 中国图象图形学报. 1997(10)
计量
  • 文章访问数: 
  • HTML全文浏览量: 
  • PDF下载量: 
  • 被引次数: 0
出版历程
  • 收稿日期:  2013-06-14
  • 修回日期:  2013-06-14
  • 发布日期:  2013-11-04

目录

    /

    返回文章
    返回