Computer Science ›› 2016, Vol. 43 ›› Issue (8): 292-296.doi: 10.11896/j.issn.1002-137X.2016.08.059

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Multiple Density Leaf Reconstruction Based on Limited Details

ZENG Lan-ling, ZHANG Wei, YANG Yang and ZHAN Yong-zhao   

  • Online:2018-12-01 Published:2018-12-01

Abstract: According to the rough point cloud encountering the problem of noise and edged bonding in the process of plants modeling,we presented a multiple density point cloud reconstruction algorithm based on limited details.Firstly,we used the color information to spare the original points cloud extracted by Kinect,and then separate the adhesive parts to gain ideal point cloud.Simultaneously,a new method named multiple density with limited details reconstructive algorithm are provided on the basis of limitation of human recognition.The algorithm is different from traditional grid reconstruction,it generates the fuzzy surface by refining the density of points in order to reach the purpose of surface.Finally,the experiments show that the result and speed of the new algorithm are better than mesh reconstruction in a certain extent.

Key words: Plants modeling,Kinect,Points cloud,Multiple density rebuilding

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