Mark F. Hansen

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Lyndon SmithProfessor in Computer Simulation and Machine Vision at University of the West of England, BristolVerified email at uwe.ac.uk
Melvyn SmithProfessor of Machine VisionVerified email at uwe.ac.uk
Ian HalesReach RoboticsVerified email at reachrobotics.com
Gary A AtkinsonSenior Lecturer, University of the West of EnglandVerified email at uwe.ac.uk
Bruce GrieveUniversity of ManchesterVerified email at manchester.ac.uk
Emma M. BaxterSRUC, Animal Behaviour and Welfare, SRUC, Edinburgh, UKVerified email at sruc.ac.uk
Gytis BernotasUniversity of the West of EnglandVerified email at uwe.ac.uk
Stefanos ZafeiriouProfessor, Imperial College LondonVerified email at imperial.ac.uk
Alistair McCormickProfessor, University of EdinburghVerified email at ed.ac.uk
Livia ScorzaUniversity of EdinburghVerified email at ed.ac.uk
Omar OceguedaSoftware Engineer, GoogleVerified email at cimat.mx
Ioannis A. KakadiarisHugh Roy and Lillie Cranz Cullen Distinguished University Professor of Computer Science, ElectricalVerified email at uh.edu
Liam FletcherThe Alan Turing InstituteVerified email at turing.ac.uk
Kevin W. BowyerSchubmehl-Prein Family Professor of Computer Science and Engineering, University of Notre DameVerified email at nd.edu
Patrick J. FlynnFritz Duda Family Professor of Engineering, Professor of CSE, University of Notre DameVerified email at nd.edu
Di HuangComputer Science and Engineering, Beihang UniversityVerified email at buaa.edu.cn
Liming ChenProfesseur des Universités, Ecole Centrale de LyonVerified email at ec-lyon.fr
Ashley NapierPrincipal Research Engineer, Q-Bot LtdVerified email at q-bot.co
Kenny RutherfordAnimal Behaviour and Welfare, SRUCVerified email at sruc.ac.uk
Khalid AbdulJabbarInstitute of Cancer Research, London, UKVerified email at icr.ac.uk

Mark F. Hansen

Professor, Centre for Machine Vision, Bristol Robotics Laboratory, UWE Bristol

Verified email at uwe.ac.uk - Homepage

Machine vision photometric stereo AI agri-tech deep-learning


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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	304	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	131	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	111	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	98	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	75	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	75	2011
The photoface database S Zafeiriou, M Hansen, G Atkinson, V Argyriou, M Petrou, M Smith, ... CVPR 2011 WORKSHOPS, 132-139, 2011	63	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
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
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	53	2019
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	49	2018
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	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	31	2020
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	23	2019
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
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	16	2021
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	9	2022
Biologically inspired 3D face recognition from surface normals MF Hansen, GA Atkinson Procedia Computer Science 2, 26-34, 2010	9	2010

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