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中国农机化学报

中国农机化学报 ›› 2023, Vol. 44 ›› Issue (10): 168-173.DOI: 10.13733/j.jcam.issn.2095-5553.2023.10.024

• 农业信息化工程 • 上一篇    下一篇

基于Kinect V3的休眠期核桃树三维重建与试验

钱美1,马保建1,李学志1,蒋焕煜2   

  1. 1. 新疆理工学院机电工程学院,新疆阿克苏,843100;
    2. 浙江省农业智能装备与机器人重点实验室,杭州市,310058
  • 出版日期:2023-10-15 发布日期:2023-11-09
  • 基金资助:
    新疆维吾尔自治区自然科学基金(2022D01C357);浙江省农业智能装备与机器人重点实验室开放课题(2023ZJZD2303)

3D reconstruction and experiment for walnut tree in dormant period based on Kinect V3

Qian Mei1, Ma Baojian1, Li Xuezhi1, Jiang Huanyu2   

  • Online:2023-10-15 Published:2023-11-09

摘要: 在自然条件下,针对休眠期果树三维重建精度低、成本高的问题,提出基于消费级Kinect V3深度相机重建果树的方法。以休眠期核桃树为研究对象,首先,针对Kinect V3在自然环境下受光照的影响,搭建基于2个深度相机的视觉感知系统,并采集0°和180°核桃树两侧的点云数据;其次,对预处理后的两侧核桃树点云结合标记点进行粗配准,然后利用迭代最近点算法进行精配准,得到完整的核桃树枝干信息;最后,利用Alphashape算法对完整核桃树点云进行表面重建。试验结果表明:核桃树点云的平均配准误差为0.58cm,枝干表面重建的尺寸误差在2mm以内,重建精度较高,为后续休眠期核桃树自动剪枝提供数据支撑。

关键词: 核桃树, 休眠期, 深度相机, 点云, 配准, 三维重建

Abstract: Aiming at the problems of low precision and high cost of 3D reconstruction of fruit tree in dormant period, a method of reconstruction based on consumer Kinect V3 camera was proposed under field conditions. In this paper, the dormant walnut tree was taken as the research object. Firstly, a visual perception system based on two Kinect V3 cameras was built in view of the effect of light in natural environment, and walnut tree point cloud data on both sides of 0° and 180° was collected. Secondly, the point cloud of walnut tree was coarse registration using the marked points, in which ICP algorithm was used to accurately register, and the complete point cloud was obtained. Finally, Alphashape algorithm was used for surface reconstruction of the complete walnut tree. The experimental results showed that the average registration error was 0.58 cm, and the size error of surface reconstruction was less than 2 mm. The reconstruction accuracy was high, which provided data support for automatic pruning of walnut tree.

Key words: walnut tree, dormant period, depth camera, point cloud, registration, 3D reconstruction

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