济宁青山羊的3D点云数据集用于细分分析和体型测量
Kai Zhang1, Qin Ma1, Yichen Liu1
1College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China.
Data in brief
|February 23, 2026
概括
这项研究引入了第一个3D点云数据集,涵盖了宁清山羊的所有生命阶段. 该资源有助于开发智能畜牧业和精密育种的非接触式测量工具.
科学领域:
- 农业科学 农业科学
- 计算机视觉 计算机视觉
- 动物科学动物科学
背景情况:
- 智能畜牧业和精密育种需要非接触式的身体测量和体重估计.
- 3D重建对于畜牧业的数字化转型至关重要.
- 对济宁清山羊缺乏3D点云数据集,特别是在发展阶段,这限制了研究.
研究的目的:
- 创建和发布第一个全面的3D点云数据集,用于济宁青山羊.
- 涵盖多个发育阶段,包括青春期,成长期,成熟期和生殖期.
- 为验证提供标准化的形态测量记录.
主要方法:
- 使用微软Kinect DK相机获得多视图RGB和深度图像.
- 使用代最接近点 (ICP) 算法注册的多视点云,具有统一的地板参考平面.
- 收集了六个关键形态学特征的手动测量,用于验证.
主要成果:
- 开发了一个全面的3D点云和形态记录的数据集,用于济宁青山羊.
- 数据集包括原始图像,深度图,点云,校准参数和手动测量.
- 所有数据都是公开可访问的,用于研究和开发.
结论:
- 济宁青山羊3D数据集支持计算机视觉任务,如牲畜3D重建和自动形态测量.
- 这种资源促进了现代畜牧业的智能管理和可持续发展.
- 允许在这种特定的山羊品种的非接触式体重估计和精确育种方面取得进展.
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