雌性萨能山羊单目三维网格重建与体尺测量

摘要

以高产奶量著称的萨能奶山羊，其泌乳性能与体型参数密切相关，因此精准的三维体型测量对评估产奶潜力至关重要。然而现有重建方法缺乏山羊专用的真实三维数据。为解决这一局限性，我们建立了FemaleSaanenGoat数据集，包含55只雌性萨能山羊（6-18月龄）的同步八视角RGBD视频。通过多视角DynamicFusion技术，我们将含噪声的非刚性点云序列融合为高保真三维扫描模型，成功克服了山羊体表不规则形态与快速运动带来的挑战。基于这些扫描数据，我们开发了专为雌性萨能山羊设计的参数化三维形状模型SaanenGoat。该模型采用带有41个骨骼关节点及优化乳房表征的精化模板，并与扫描数据进行了配准。通过48只山羊构建的完整形状空间，可精准表征个体间的多样性差异。借助SaanenGoat模型，我们实现了单视角RGBD输入的高精度三维重建，并自动化测定了六项关键体型指标：体斜长、体高、胸宽、胸围、髋宽和臀高。实验结果表明，本方法在三维重建与体型测量方面均具有卓越精度，为精准畜牧业的大规模三维视觉应用提供了创新范式。

English

The lactation performance of Saanen dairy goats, renowned for their high milk yield, is intrinsically linked to their body size, making accurate 3D body measurement essential for assessing milk production potential, yet existing reconstruction methods lack goat-specific authentic 3D data. To address this limitation, we establish the FemaleSaanenGoat dataset containing synchronized eight-view RGBD videos of 55 female Saanen goats (6-18 months). Using multi-view DynamicFusion, we fuse noisy, non-rigid point cloud sequences into high-fidelity 3D scans, overcoming challenges from irregular surfaces and rapid movement. Based on these scans, we develop SaanenGoat, a parametric 3D shape model specifically designed for female Saanen goats. This model features a refined template with 41 skeletal joints and enhanced udder representation, registered with our scan data. A comprehensive shape space constructed from 48 goats enables precise representation of diverse individual variations. With the help of SaanenGoat model, we get high-precision 3D reconstruction from single-view RGBD input, and achieve automated measurement of six critical body dimensions: body length, height, chest width, chest girth, hip width, and hip height. Experimental results demonstrate the superior accuracy of our method in both 3D reconstruction and body measurement, presenting a novel paradigm for large-scale 3D vision applications in precision livestock farming.

雌性萨能山羊单目三维网格重建与体尺测量

Monocular Mesh Recovery and Body Measurement of Female Saanen Goats

摘要

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