Towards on-farm pig face recognition using convolutional neural networks MF Hansen, ML Smith, LN Smith, MG Salter, EM Baxter, M Farish, ... Computers in Industry 98, 145-152, 2018 | 320 | 2018 |
Automated monitoring of dairy cow body condition, mobility and weight using a single 3D video capture device MF Hansen, ML Smith, LN Smith, KA Jabbar, D Forbes Computers in industry 98, 14-22, 2018 | 134 | 2018 |
The quiet revolution in machine vision-a state-of-the-art survey paper, including historical review, perspectives, and future directions ML Smith, LN Smith, MF Hansen Computers in Industry 130, 103472, 2021 | 117 | 2021 |
3D face reconstructions from photometric stereo using near infrared and visible light MF Hansen, GA Atkinson, LN Smith, ML Smith Computer Vision and Image Understanding 114 (8), 942-951, 2010 | 97 | 2010 |
Early and non-intrusive lameness detection in dairy cows using 3-dimensional video KA Jabbar, MF Hansen, ML Smith, LN Smith Biosystems engineering 153, 63-69, 2017 | 78 | 2017 |
Twins 3D face recognition challenge V Vijayan, KW Bowyer, PJ Flynn, D Huang, L Chen, M Hansen, ... 2011 international joint conference on biometrics (IJCB), 1-7, 2011 | 77 | 2011 |
The photoface database S Zafeiriou, M Hansen, G Atkinson, V Argyriou, M Petrou, M Smith, ... CVPR 2011 WORKSHOPS, 132-139, 2011 | 64 | 2011 |
A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth G Bernotas, LCT Scorza, MF Hansen, IJ Hales, KJ Halliday, LN Smith, ... GigaScience 8 (5), giz056, 2019 | 59 | 2019 |
Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape C Veys, F Chatziavgerinos, A AlSuwaidi, J Hibbert, M Hansen, G Bernotas, ... Plant methods 15, 1-12, 2019 | 56 | 2019 |
Face recognition and verification using photometric stereo: The photoface database and a comprehensive evaluation S Zafeiriou, GA Atkinson, MF Hansen, WAP Smith, V Argyriou, M Petrou, ... IEEE transactions on information forensics and security 8 (1), 121-135, 2012 | 56 | 2012 |
Broad-leaf weed detection in pasture W Zhang, MF Hansen, TN Volonakis, M Smith, L Smith, J Wilson, ... 2018 IEEE 3rd International Conference on Image, Vision and Computing (ICIVC …, 2018 | 51 | 2018 |
Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field LN Smith, W Zhang, MF Hansen, IJ Hales, ML Smith Computers in industry 97, 122-131, 2018 | 48 | 2018 |
Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning GA Atkinson, W Zhang, MF Hansen, ML Holloway, AA Napier Automation in Construction 113, 103118, 2020 | 32 | 2020 |
ICEBT 2010 GA Atkinson, MF Hansen, ML Smith, LN Smith Procedia Computer Science 2 (11), 19, 2010 | 31* | 2010 |
Weed classification in grasslands using convolutional neural networks LN Smith, A Byrne, MF Hansen, W Zhang, ML Smith Applications of Machine Learning 11139, 334-344, 2019 | 26 | 2019 |
Towards facial expression recognition for on-farm welfare assessment in pigs MF Hansen, EM Baxter, KMD Rutherford, A Futro, ML Smith, LN Smith Agriculture 11 (9), 847, 2021 | 19 | 2021 |
Non-intrusive automated measurement of dairy cow body condition using 3D video M Hansen, M Smith, L Smith, I Hales, D Forbes Proceedings of the Machine Vision of Animals and their Behaviour (MVAB), 1.1-1.8, 2015 | 18 | 2015 |
Photometric stereo for three-dimensional leaf venation extraction W Zhang, MF Hansen, M Smith, L Smith, B Grieve Computers in Industry 98, 56-67, 2018 | 16 | 2018 |
Reinforcement learning for a perched landing in the presence of wind LJ Fletcher, RJ Clarke, TS Richardson, M Hansen AIAA Scitech 2021 Forum, 1282, 2021 | 13 | 2021 |
Towards machine vision for insect welfare monitoring and behavioural insights MF Hansen, A Oparaeke, R Gallagher, A Karimi, F Tariq, ML Smith Frontiers in Veterinary Science 9, 835529, 2022 | 11 | 2022 |