[1]嵇俊,云挺*,薛联凤,等. 基于激光点云数据的复杂植物叶片重建方法[J].西北林学院学报,2014,29(05):64-69.[doi:doi:10.3969/j.issn.1001-7461.2014.05.12]
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 基于激光点云数据的复杂植物叶片重建方法()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第29卷
期数:
2014年05期
页码:
64-69
栏目:
出版日期:
2014-09-30

文章信息/Info

Title:
 Based on Laser Point Clouds Data of Complex Plant Leaves Reconstruction Method
文章编号:
1001-7461(2014)05-0064-06
作者:
 嵇俊云挺*薛联凤张浩平
 (南京林业大学 信息科学与技术学院,江苏 南京 210037)
Author(s):
 JI Jun YUN Ting* XUE Lian-feng ZHANG Hao-ping
 (College of Information Science and Technology, Nanjing Forestry University,Nanjing, Jiangsu 210037,China)
关键词:
 植物叶片点云数据去噪孔洞修补重建
Keywords:
 leaf point cloud data de-noise hole filling reconstruction
分类号:
TP391.4
DOI:
doi:10.3969/j.issn.1001-7461.2014.05.12
文献标志码:
A
摘要:
 植物叶片是植物最重要的器官之一,重建高精度的复杂叶片模型对于后续研究具有重要意义。但由于现实中复杂叶片的点云数据存在噪声、孔洞等问题,所以不易重建出高精度的叶片模型。基于激光点云数据的复杂植物叶片重建方法,该方法首先对原始点云数据进行去噪处理,然后采用三角剖分方法生成网格,再对网格进行优化处理,最后对存在孔洞的地方进行修补。结果表明,本方法能够根据激光点云数据快速重建出复杂植物叶片的高精度模型。
Abstract:
 High-precision reconstruction model of complex blade is of great significance for further researches, as leaf is one of the most important organs of plants. However, it is difficult to reconstruct due to the problems that noises and holes may exist in the real point cloud data. A method based on laser point clouds was proposed, which was composed of de-noise processing of laser point cloud, delaunay triangulation to generate mesh surface, and mending of the holes. Experiments showed that the suggested method was of high speed and precision.

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备注/Memo

备注/Memo:
 收稿日期:2013-12-06修回日期:2014-01-28
基金项目:国家自然科学基金(31300472);江苏省自然科学基金(BK2012418)。
作者简介:嵇俊,男,硕士研究生,研究方向:图像处理。E-mail:286620982@qq.com
*通信作者:云挺,男,博士,副教授,研究方向:虚拟现实与机器视觉。
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