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。
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.
出处
《西北林学院学报》
CSCD
北大核心
2014年第5期64-69,共6页
Journal of Northwest Forestry University
基金
国家自然科学基金(31300472)
江苏省自然科学基金(BK2012418)
关键词
植物叶片
点云数据
去噪
孔洞修补
重建
leaf
point cloud data
de-noise
hole filling
reconstruction
