湖北农业科学 ›› 2019, Vol. 58 ›› Issue (16): 125-128.doi: 10.14088/j.cnki.issn0439-8114.2019.16.029

• 信息工程 • 上一篇    下一篇

基于视觉三维重建的作物表型分析

史维杰, 张吴平, 郝雅洁, 赵明霞, 吕致, 李富忠   

  1. 山西农业大学软件学院,山西 太谷 030801
  • 收稿日期:2019-06-03 出版日期:2019-08-25 发布日期:2019-11-12
  • 通讯作者: 李富忠(1969-),男,山西大同人,教授,博士。
  • 作者简介:史维杰(1994-),男,山西朔州人,在读硕士研究生,研究方向为计算机视觉,(电话)18536663436(电子信箱)m18536663436@163.com
  • 基金资助:
    山西农业大学花卉识别应用创新平台项目(K481811088)

Crop phenotypic analysis based on visual 3D reconstruction

SHI Wei-jie, ZHANG Wu-ping, HAO Ya-jie, ZHAO Ming-xia, LYU Zhi, LI Fu-zhong   

  1. College of Software,Shanxi Agricultural University,Taigu 030801,Shanxi,China
  • Received:2019-06-03 Online:2019-08-25 Published:2019-11-12

摘要: 采用基于图像序列的三维重建技术对作物小麦进行三维重建,通过对比不同处理下的三维点云,选择合适的处理方式对同一品种的不同植株进行三维重建;最后通过获取的作物三维模型对其进行表型测量。结果表明,重建出的三维模型在一定程度上可以还原作物的真实结构,说明利用计算机视觉技术对作物进行表型测量是切实可行的,利用三维模型测量作物的表型对于育种是省时有效的。

关键词: 三维重建, 植物表型, 叶面积, SfM, MVS

Abstract: Three-dimensional reconstruction of crop wheat was carried out by using image sequence-based 3D reconstruction technique. Three-dimensional point clouds under different treatments were compared, and appropriate treatment methods were used to reconstruct three-dimensional reconstruction of different plants of the same variety. Finally, the three-dimensional model of crops was obtained. Phenotypic measurement. The results showed that the reconstructed three-dimensional model could restore the true structure of the crop to a certain extent, indicating that it was feasible to use the computer vision technology to measure the phenotype of the crop. Using the three-dimensional model to measure the phenotype of the crop was time-saving and effective for breeding.

Key words: 3D reconstruction, plant phenotype, leaf area, SfM, MVS

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