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Horticultural Fruit Monitoring via 3D Instance Segmentation and Point Cloud Re-Identification

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种基于点云的3D实例分割方法，用于果实监测，克服了传统手动方法的局限性。通过稀疏卷积神经网络提取果实特征，并利用注意力匹配网络进行重新识别，实验结果表明该方法在复杂场景中实现了更精确的监测效果，具有良好的应用前景。

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