Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Hunan Agricultural University(Natural Sciences)》 2018-05
Add to Favorite Get Latest Update

The optimization of 3D point cloud simplified algorithm for plants based on curvature

HUANG Tiantian;LIU Bo;College of Information Science and Technology, Hunan Agricultural University;Hunan Engineering Technology Research Center,Agricultural & Rural Information;  
In view of the inaccurate extraction of feature information for plant 3D point cloud simplification, a judging method of the region complexity was proposed to optimize the curvature simplified algorithm by combining the error of the local curvature and the normal vector angle. Comparing the standard deviation of curvature and the normal vector angle with the threshold of K neighborhood in each data point, the complexity of the local area is determined. Then, different reduction rates are used to determine whether the neighborhood points are retained or not, and their retention probabilities are counted. Finally, the trade–off between data points is determined through the overall reduction rate and retention probability. Compared with the traditional simplified algorithm applied to the plant point cloud, the results show that the leaf vein characteristics of the leaf are more obvious, and the deviation is reduced by more than 25% under the similar reduction rate.
【Fund】: 湖南省制造强省专项(2017029);; 湖南省科学技术厅重点项目(2015NK2145 2016NK2118);; 湖南农业大学团委科技创新立项(2016ZK15 2017ZK25)
【CateGory Index】: TP391.41;Q94
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved