The analysis of bird nest parameters is often constrained by the traditional linear measurements. The shape of every nest is unique, and conventional measurements cannot describe all spatial characteristic of these three-dimensional structures. In this study, we used 3D scanning to obtain three-dimensional images of nests and estimate their parameters and compared the results with the values obtained by the linear measurement-based approach. The 3D scanning-based method involves minimal nest deformation, ensures determination of its volume and shape with higher precision than traditional measurements and, finally, can be applied to different types of nests, including asymmetrical ones.

中文翻译：

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3D 扫描作为分析燕窝的强大工具

燕窝参数的分析往往受限于传统的线性测量。每个巢穴的形状都是独一无二的，常规测量无法描述这些三维结构的所有空间特征。在这项研究中，我们使用 3D 扫描来获取巢的 3D 图像并估计它们的参数，并将结果与​​基于线性测量的方法获得的值进行比较。基于 3D 扫描的方法涉及最小的巢变形，确保以比传统测量更高的精度确定其体积和形状，最后，可以应用于不同类型的巢，包括不对称的巢。