Monocular Mesh Recovery and Body Measurement of Female Saanen Goats
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.
69a6af4a663a122a7ce669e7
Bo Jin
69a6af4a663a122a7ce669e8
Shichao Zhao
69a6af4a663a122a7ce669e9
Jin Lyu
claimed_verified
2026-03-03T10:11:01.519Z
65560e8047adf6b4ebfc7062
https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/a7uIL26DBYuHTiLOKSgQM.png
Jin Lyu
luoxue-star
user
luoxue-star
69a6af4a663a122a7ce669ea
Bin Zhang
69a6af4a663a122a7ce669eb
Tao Yu
69a6af4a663a122a7ce669ec
Liang An
69a6af4a663a122a7ce669ed
Yebin Liu
69a6af4a663a122a7ce669ee
Meili Wang
Monocular Mesh Recovery and Body Measurement of Female Saanen Goats
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.
A novel 3D body measurement system for Saanen goats using a specialized parametric shape model and multi-view fusion techniques enables accurate automated assessment of key body dimensions.
RGBD videos DynamicFusion point cloud sequences 3D scans parametric 3D shape model skeletal joints udder representation shape space 3D reconstruction body measurement