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A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth (2019)
Journal Article
Bernotas, G., Scorza, L., Hansen, M., Hales, I., Halliday, K., Smith, L., …McCormick:, A. (in press). A photometric stereo-based 3D imaging system using computer vision and deep learning for tracking plant growth. GigaScience, 8(5), https://doi.org/10.1093/gigascience/giz056

Abstract Background: Tracking and predicting the growth performance of plants in different environments is critical for predicting the impact of global climate change. Automated approaches for image capture and analysis have allowed for substantia... Read More

3D plant phenotyping system using photometric stereo (2019)
Thesis
Bernotas, G. 3D plant phenotyping system using photometric stereo. (Thesis). University of the West of England. Retrieved from https://uwe-repository....ribe.com/output/1490917

Tracking and predicting the growth performance of plants in different environments is critical for future crop development, which is under dual pressure from population expansion and global climate change. Automated approaches for image capture and a... Read More

Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape (2019)
Journal Article
Veys, C., Chatziavgerinos, F., AlSuwaidi, A., Hibbert, J., Hansen, M., Bernotas, G., …Grieve, B. (2019). Multispectral imaging for presymptomatic analysis of light leaf spot in oilseed rape. Plant Methods, 15(4), 1-12. https://doi.org/10.1186/s13007-019-0389-9

Abstract Background: The use of spectral imaging within the plant phenotyping and breeding community has been increasing due its utility as a non-invasive diagnostic tool. However, there is a lack of imaging systems targeted specifically at plant sc... Read More

Broad-leaf weed detection in pasture (2018)
Conference Proceeding
Zhang, W., Hansen, M. F., Volonakis, T. N., Smith, M., Smith, L., Wilson, J., …Wright, G. (2018). Broad-leaf weed detection in pasture

Weed control in pasture is a challenging problem that can be expensive and environmentally unfriendly. This paper proposes a novel method for recognition of broad-leaf weeds in pasture such that precision weed control can be achieved with reduced her... Read More

Dual encoding for abstractive text summarization (2018)
Journal Article
Yao, K., Zhang, L., Du, D., Luo, T., Tao, L., & Wu, Y. (2018). Dual encoding for abstractive text summarization. IEEE Transactions on Cybernetics, https://doi.org/10.1109/TCYB.2018.2876317

Recurrent Neural Network (RNN) based sequenceto- sequence attentional models have proven effective in abstractive text summarization. In this paper, we model abstractive text summarization using a dual encoding model. Different from the previous wor... Read More

Multispectral contactless 3D handprint acquisition for identification (2018)
Presentation / Conference
Hansen, M. F., Smith, L., & Smith, M. (2018, July). Multispectral contactless 3D handprint acquisition for identification. Paper presented at The 20th International Conference on Artificial Intelligence, 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing

We present and experimentally demonstrate the potential effectiveness of a photometric stereo based high resolution system for capturing 3D handprints using visible light sources. The sub-surface vascular structures are also enhanced through the use... Read More

Teaching machines to ask questions (2018)
Presentation / Conference
Yao, K., Zhang, L., Luo, T., Tao, L., & Wu, Y. (2018, July). Teaching machines to ask questions. Paper presented at International Joint Conferences on Artificial Intelligence Organization

We propose a novel neural network model that aims to generate diverse and human-like natural language questions. Our model not only directly captures the variability in possible questions by using a latent variable, but also generates certain types o... Read More

White paper - Agricultural Robotics: The Future of Robotic Agriculture (2018)
Other
Duckett, T., Pearson, S., Blackmore, S., Grieve, B., & Smith, M. (2018). White paper - Agricultural Robotics: The Future of Robotic Agriculture

Agri-Food is the largest manufacturing sector in the UK. It supports a food chain that generates over £108bn p.a., with 3.9m employees in a truly international industry and exports £20bn of UK manufactured goods. However, the global food chain is und... Read More

Towards on-farm pig face recognition using convolutional neural networks (2018)
Journal Article
Baxter, E. M., Salter, M. G., Smith, L. N., Smith, M. L., Hansen, M. F., Hansen, M. F., …Grieve, B. (2018). Towards on-farm pig face recognition using convolutional neural networks. Computers in Industry, 98, 145-152. https://doi.org/10.1016/j.compind.2018.02.016

© 2018 Elsevier B.V. Identification of individual livestock such as pigs and cows has become a pressing issue in recent years as intensification practices continue to be adopted and precise objective measurements are required (e.g. weight). Current b... Read More

A novel model and method based on Nash equilibrium for medical image segmentation (2018)
Journal Article
Zhang, T., Zhang, J., Zhang, J., Smith, M., & Hancock, E. (2018). A novel model and method based on Nash equilibrium for medical image segmentation. Journal of Medical Imaging and Health Informatics, 8(5), 872-880

Accurate image segmentation is a very important task in medical image analysis as it can help us to better distinguish tumours from normal tissues. One of the important features of MRI images of glioma (a kind of brain tumour) is that the tumour shap... Read More

Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field (2018)
Journal Article
Smith, L., Zhang, W., Hansen, M. F., Hales, I., & Smith, M. (2018). Innovative 3D and 2D machine vision methods for analysis of plants and crops in the field. Computers in Industry, 97, 122-131. https://doi.org/10.1016/j.compind.2018.02.002

Machine vision systems offer great potential for automating crop control, harvesting, fruit picking, and a range of other agricultural tasks. However, most of the reported research on machine vision in agriculture involves a 2D approach, where the ut... Read More

Automated monitoring of dairy cow body condition, mobility and weight using a Single 3D Video Capture Device (2018)
Journal Article
Hansen, M. F., Smith, M., Smith, L., Abdul Jabbar, K., & Forbes, D. (2018). Automated monitoring of dairy cow body condition, mobility and weight using a Single 3D Video Capture Device. Computers in Industry, 98, 14-22. https://doi.org/10.1016/j.compind.2018.02.011

Here we propose a low-cost automated system for the unobtrusive and continuous welfare monitoring of dairy cattle on the farm. We argue that effective and regular monitoring of multiple condition traits is not currently practicable and go on to propo... Read More

Vanishing point detection for visual surveillance systems in railway platform environments (2018)
Journal Article
Tarrit, K., Molleda, J., Atkinson, G., Smith, M., Wright, G., & Gaal, P. (2018). Vanishing point detection for visual surveillance systems in railway platform environments. Computers in Industry, 98, 153-164. https://doi.org/10.1016/j.compind.2018.03.005

Visual surveillance is of paramount importance in public spaces and especially in train and metro platforms which are particularly susceptible to many types of crime from petty theft to terrorist activity. Image resolution of visual surveillance syst... Read More

Photometric stereo for three-dimensional leaf venation extraction (2018)
Journal Article
Zhang, W., Hansen, M. F., Smith, M., Smith, L., & Grieve, B. (2018). Photometric stereo for three-dimensional leaf venation extraction. Computers in Industry, 98, 56-67. https://doi.org/10.1016/j.compind.2018.02.006

Leaf venation extraction studies have been strongly discouraged by considerable challenges posed by venation architectures that are complex, diverse and subtle. Additionally, unpredictable local leaf curvatures, undesirable ambient illuminations, and... Read More

Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems (2018)
Journal Article
Jamil, A., Khan, M., Imran, A., Wakeel, A., Smith, M., Smith, L., …Irfan, M. (2018). Visual features based boosted classification of weeds for real-time selective herbicide sprayer systems. Computers in Industry, 98, 23-33. https://doi.org/10.1016/j.compind.2018.02.005

Recent years have shown enthusiastic research interest in weed classification for selective herbicide sprayer systems which are helpful in eradicating unwanted plants such as weeds from fields, minimizing the side effects of chemicals on the environm... Read More

3D video based detection of early lameness in dairy cattle (2017)
Thesis
Abdul Jabbar, K. 3D video based detection of early lameness in dairy cattle. (Thesis). University of the West of England

Lameness is a major issue in dairy cattle and its early and automated detection offers animal welfare benefits together with potentially high commercial savings for farmers. Current advancements in automated detection have not achieved a sensitive me... Read More

High-sensitivity analysis of polarization by surface reflection (2017)
Journal Article
Atkinson, G., & Ernst, J. (2017). High-sensitivity analysis of polarization by surface reflection. Machine Vision and Applications, https://doi.org/10.1007/s00138-018-0962-7

The exploitation of polarization information in the field of computer vision has become progressively more popular during the last few decades. This is primarily due to (1) the fact that polarization is a source of mostly untapped information for mac... Read More

An investigation into common challenges of 3D scene understanding in visual surveillance (2017)
Thesis
Tarrit, K. An investigation into common challenges of 3D scene understanding in visual surveillance. (Thesis). University of the West of England

Nowadays, video surveillance systems are ubiquitous. Most installations simply consist of CCTV cameras connected to a central control room and rely on human operators to interpret what they see on the screen in order to, for example, detect a crime (... Read More

Energy expenditure estimation using visual and inertial sensors (2017)
Journal Article
Tao, L. (2018). Energy expenditure estimation using visual and inertial sensors. IET Computer Vision, 12(1), 36-47. https://doi.org/10.1049/iet-cvi.2017.0112

Deriving a person’s energy expenditure accurately forms the foundation for tracking physical activity levels across many health and lifestyle monitoring tasks. In this work, we present a method for estimating calorific expenditure from combined visua... Read More