详细信息
- 来源站点
- ArXiv CS.CV
- 作者
- Mk Bashar, Kuljit Bhatti, Gary Rohrer, Madonna Benjamin, Tami Brown-Brandl, Daniel Morris
- 文章类型
- NEWS
- 语言
- en
- 发布日期
- 2026-06-05
摘要
arXiv:2606.05611v1 Announce Type: new Abstract: Sow body condition is an important indicator for growers as it has a large impact on lactation performance and piglet survival. However, body condition measures used during production, such as visual scoring and calipers, correlate poorly with underlying tissue composition. Ultrasound scans can provide direct measurements of subcutaneous backfat thickness and loin muscle depth, but their operation is labor intensive and not scalable for production. We present PigFormer, an end-to-end two-stage system that takes raw depth frames from a ceiling-mounted RGB-D camera and predicts subcutaneous backfat thickness, loin muscle depth, and total tissue thickness at the last rib. Stage 1 is a geometric front-end that converts raw depth into a standardized height map via SAM3-to-MaskDINO segmentation distillation, ground-plane removal, and orientation normalization.
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