Gender and gaze gesture recognition for human-computer interaction von Zhang, Wenhao, Smith, Melvyn L., Smith, Lyndon N., Farooq, Abdul

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Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems von Ahmad, Jamil, Muhammad, Khan, Ahmad, Imran, Ahmad, Wakeel, Smith, Melvyn L., Smith, Lyndon N., Jain, Deepak Kumar, Wang, Haoxiang, Mehmood, Irfan

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Eye center localization and gaze gesture recognition for human-computer interaction von Zhang, Wenhao, Smith, Melvyn L, Smith, Lyndon N, Farooq, Abdul

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EM-COGLOAD: An investigation into age and cognitive load detection using eye tracking and deep learning von Miles, Gabriella, Smith, Melvyn, Zook, Nancy, Zhang, Wenhao

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Early and non-intrusive lameness detection in dairy cows using 3-dimensional video von Abdul Jabbar, K., Hansen, Mark F., Smith, Melvyn L., Smith, Lyndon N.

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Towards on-farm pig face recognition using convolutional neural networks von Hansen, Mark F., Smith, Melvyn L., Smith, Lyndon N., Salter, Michael G., Baxter, Emma M., Farish, Marianne, Grieve, Bruce

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A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth von Bernotas, Gytis, Scorza, Livia C T, Hansen, Mark F, Hales, Ian J, Halliday, Karen J, Smith, Lyndon N, Smith, Melvyn L, McCormick, Alistair J

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Photometric stereo for three-dimensional leaf venation extraction von Zhang, Wenhao, Hansen, Mark F., Smith, Melvyn, Smith, Lyndon, Grieve, Bruce

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Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape von Veys, Charles, Chatziavgerinos, Fokion, AlSuwaidi, Ali, Hibbert, James, Hansen, Mark, Bernotas, Gytis, Smith, Melvyn, Yin, Hujun, Rolfe, Stephen, Grieve, Bruce

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A computer vision approach to improving cattle digestive health by the monitoring of faecal samples von Atkinson, Gary A., Smith, Lyndon N., Smith, Melvyn L., Reynolds, Christopher K., Humphries, David J., Moorby, Jon M., Leemans, David K., Kingston-Smith, Alison H.

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Gender recognition from facial images: two or three dimensions? von Zhang, Wenhao, Smith, Melvyn L, Smith, Lyndon N, Farooq, Abdul

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Towards Machine Vision for Insect Welfare Monitoring and Behavioural Insights von Hansen, Mark F, Oparaeke, Alphonsus, Gallagher, Ryan, Karimi, Amir, Tariq, Fahim, Smith, Melvyn L

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Towards Facial Expression Recognition for On-Farm Welfare Assessment in Pigs von Hansen, Mark F., Baxter, Emma M., Rutherford, Kenneth M. D., Futro, Agnieszka, Smith, Melvyn L., Smith, Lyndon N.

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Face recognition in 2D and 2.5D using ridgelets and photometric stereo von Kautkar, Satyajit N., Atkinson, Gary A., Smith, Melvyn L.

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3D face reconstructions from photometric stereo using near infrared and visible light von Hansen, Mark F., Atkinson, Gary A., Smith, Lyndon N., Smith, Melvyn L.

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Pharmacovigilance teaching in UK undergraduate pharmacy programmes von Smith, Melvyn P., Webley, Sherael D.

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Distribution quantification on dermoscopy images for computer-assisted diagnosis of cutaneous melanomas von Liu, Zhao, Sun, Jiuai, Smith, Lyndon, Smith, Melvyn, Warr, Robert

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Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field von Smith, Lyndon Neal, Zhang, Wenhao, Hansen, Mark F., Hales, Ian John, Smith, Melvyn Lionel

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Object surface recovery using a multi-light photometric stereo technique for non-Lambertian surfaces subject to shadows and specularities von Sun, Jiuai, Smith, Melvyn, Smith, Lyndon, Midha, Sagar, Bamber, Jeff

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Face Recognition and Verification Using Photometric Stereo: The Photoface Database and a Comprehensive Evaluation von Zafeiriou, S., Atkinson, G. A., Hansen, M. F., Smith, W. A. P., Argyriou, V., Petrou, M., Smith, M. L., Smith, L. N.

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