Automatic estimation of dairy cow body condition score based on attention-guided 3D point cloud feature extraction
Tài liệu tham khảo
Alvarez, 2018, Body condition estimation on cows from depth images using Convolutional Neural Networks, Comput. Electron. Agric., 155, 12, 10.1016/j.compag.2018.09.039
Anglart, 2010, Automatic estimation of body weight and body condition score in dairy cows using 3D imaging technique (Master’s thesis), Faculty of Veterinary Medicine and Animal Science, Swedish University of Agricultural Sciences
Azzaro, 2011, Objective estimation of body condition score by modeling cow body shape from digital images, J. Dairy Sci., 94, 2126, 10.3168/jds.2010-3467
Bercovich, 2013, Development of an automatic cow body condition scoring using body shape signature and fourier descriptors, J. Dairy Sci., 96, 8047, 10.3168/jds.2013-6568
Bewley, 2008, Potential for estimation of body condition scores in dairy cattle from digital images, J. Dairy Sci., 91, 3439, 10.3168/jds.2007-0836
Zhao, 2017, Diversified visual attention networks for fine-grained object classification, IEEE Trans. Multimedia., 19, 1245, 10.1109/TMM.2017.2648498
Zin
Qi, C.R., Yi, L., Su, H., et al., 2017. PointNet++: Deep hierarchical feature learning on point sets in a metric space. 31st International Conference on Neural Information Processing Systems (NIPS), pp. 5105–5114.
Ferguson, 1994, Principal descriptors of body condition score in holstein cows, J. Dairy Sci., 77, 2695, 10.3168/jds.S0022-0302(94)77212-X
Gao, 2021, Multi-head self-attention for 3D point cloud classification, IEEE Access., 9, 18137, 10.1109/ACCESS.2021.3050488
Halachmi, 2013, Automatic assessment of dairy cattle body condition score using thermal imaging, Comput. Electron. Agric., 99, 35, 10.1016/j.compag.2013.08.012
Liu, 2020, Automatic estimation of dairy cattle body condition score from depth image using ensemble model, Biosyst. Eng., 194, 16, 10.1016/j.biosystemseng.2020.03.011
Rusu
Hoppe, H., DeRose, T. Duchamp, T., et al. Surface reconstruction from unorganized points. ACM SIGGRAPH Computer Graphics. 1992, 26(2), 71-78. doi: 10.1145/142920.134011.
Maimon, 2010
Popescu, 2014, Real-Time 3D reconstruction using a Kinect sensor, Computer Science & Information Technology, 2, 95, 10.13189/csit.2014.020206
Qi, C. R., Su, H., Mo, K., et al., 2017. PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 77-85. https://doi.org/10.1109/CVPR.2017.16.
Spoliansky, 2016, Development of automatic body condition scoring using a low-cost 3-dimensional Kinect camera, J. Dairy Sci., 99, 7714, 10.3168/jds.2015-10607
Vaswani, A., Shazeer, N., Parmar, N., et al. (2017). Attention is all you need. arXiv preprint arXiv:1706.03762.
Sun, 2019, Automatic monitoring system for individual dairy cows based on a deep learning framework that provides identification via body parts and estimation of body condition score, J. Dairy Sci., 102
Wildman, 1982, A dairy cow body condition scoring system and its relationship to selected production characteristics, J. Dairy Sci., 65, 495, 10.3168/jds.S0022-0302(82)82223-6