Stirling Vision and Image Processing Special Interest Group

Welcome

The Vision and Image Processing Group at the University of Stirling is an interdisciplinary research group enjoys strong interaction between four academic divisions including Computing Science & Mathematics, Psychology, Biological & Environment Science and Management. The academics within the groups have a strong funding track record from various research councils and industries, including EPSRC, RAEng, EU, ESRC, Leverhulme and Wellcome trust.

The group is particularly strong in fundamental research in image & signal processing, computer vision, text & language processing and visual perception. The application areas include object recognition, scene understanding, surveillance & security, face recognition, media forensics, earth observation, activity recognition, medical image processing, hardware development, blockchain and many more.

Meet the Team

Academic Staff

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Ailsa Millen

Lecturer (Assistant Professor)

Visual perception, Image analysis, Forensics, Neurocomputing

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Armando Marino

Senior Lecturer

Signal and Image processing, Segmentation

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Elena Gheorghiu

Senior Lecturer

3D Vision, Color vision, Neuromorphic vision

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Jefersson A. dos Santos

Lecturer (Assistant Professor)

Image processing, Machine learning, Computer Vision, Remote Sensing

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Keiller Nogueira

Lecturer (Assistant Professor)

Machine learning, Image processing, Pattern recognition

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Kevin Swingler

Head of CSM Division

Computer vision, Segmentation, Object recognition

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Peter Hancock

Professor of Psychology

Face recognition, Visual perception

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Ross Goutcher

Lecturer (Assistant Professor)

Binocular vision, Depth Perception, Segmentation, Sensory integration

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Savi Maharaj

Senior Lecturer

Agent-based simulation, Agriculture health

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Sharon Kessler

Lecturer (Assistant Professor)

Psychology

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Simona Hapca

Lecturer (Assistant Professor)

Statistics, Health informatics

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Thiago Silva

Lecturer (Assistant Professor)

Remote Sensing, Data Science, Ecosystems

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Viktoria Mileva

Lecturer (Assistant Professor)

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Wen-shin Lee

Lecturer (Assistant Professor)

Mathematical image processing

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William Webster

Professor of Public Policy and Management

Surveillance and Security, Public policies, Privacy

Emeritus Professors

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Bruce Graham

Emeritus Professor of Computing Science

Visual perception, Neuromorphic Vision, Object recognition

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Leslie Smith

Emeritus Professor of Computing Science

Neuromorphic audition and vision, Neuroinformatics

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Roger Watt

Emeritus Professor of Psychology

Visual perception

Research Fellows and Research Assistants

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Alice César Fassoni-Andrade

Research Fellow

Remote Sensing, Hydrology

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André Medeiros de Andrade

Visiting Researcher

Remote Sensing, Geoprocessing

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Cristian Silva Perez

Research Fellow

Earth Observation, Image and Signal Processing, Machine Learning, Computer Vision

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Vahid Akbari

Research Fellow

Earth Observation, Machine Learning, Multivariate Statistical Anaysis

PhD Students

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Alexander Carmichael

PhD Student

Marine analysis

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Fidelis Henry Kamunde

PhD Student

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Ipshita Roy Chowdhury

PhD Student

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Penny Johnston

PhD Student

Computer vision, Machine learning, Infographics

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Rosyl Somai

PhD Student

Face Recognition

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Sandy Martin

PhD Student

Facial analysis

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Teymoor Ali

PhD Student

Alumni

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Christian Barrington

Research Assistant

Psychology

Projects

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All (Active) PhD EU EPSRC ESRC RAEng Industry Carnegie Leverhulme Wellcome

[2021-2022] (DSTL: £96.7K) EO Image Processing

[2021-2022] (Carnegie Trust: £14.9K) Advancing exponential analysis: high-resolution information from sparse and regularly sampled data

[2021-2025] (EU H2020: €777.4K) EXPONENTIAL ANALYSIS EMPOWERING INNOVATION

The EXPOWER project (led by Annie Cuyt, University of Antwerp) combines a broad spectrum of key research and training activities on Multi-Exponential Analysis with applications in industry, that are currently being undertaken in some premier research institutes. The network is interdisciplinary, intersectoral, unconventional and ambitious. It is unconventional in the sense that it connects stakeholders from seemingly separately developed fields: computational harmonic analysis, numerical linear algebra, computer algebra, nonlinear approximation theory, digital signal processing and their applications, in one and more variables. It is ambitious because the consortium stretches from mathematics to computational science and engineering and industry.
[2021-2025] (EU H2020: €777.4K) EXPONENTIAL ANALYSIS EMPOWERING INNOVATION

[2020-2021] (SFC/Industry: £13.4K) Smart Screenshot Organiser in collaboration with PicoJar Ltd.

[2022-2023] (Innovate UK: £120K) INtelligent FOod Recognition and Monitoring for patient wellbeing (INFORM) in collaboration with Falcon Food Services Equipment

INFORM is an industrial project and aims to develop an embedded hardware that uses computer vision and IoT to automatically detect and analyse food consumption. It will assist care providers to monitor patients’ wellbeing and provide increased quality of care and reduce the quantity of food waste, preserving valuable health service and care homes resources and reducing environmental impacts.

[2020-2020] (SPARK/University of Stirling: £18.5K) Escalator equipment grant

[2020-2020] (SPARK/University of Stirling: £3.75K) An Interactive Decision-Support System for Managing Invasive Aquatic Weeds: proof of concept

[2019-2020] (DASA/DSTL: £98.25K) Deep learning for Depth-based Image Segmentation

[2020-2023] (RAEng/GCRF: £300K) Multimodal Data Analysis For Monitoring Invasive Aquatic Weeds In India

The aim of this project is to develop effective methods that combine the use of multiple data sources (satellite and drone observations and ground-based sensors) to monitor the spread of invasive aquatic weeds in neglected and inaccessible water bodies in India. The project focuses on water hyacinth (Eichhornia crassipes) in the Kuttanad region of Kerala.
[2020-2023] (RAEng/GCRF: £300K) Multimodal Data Analysis For Monitoring Invasive Aquatic Weeds In India

[2020-2020] (Industry: £5K) Food Recognition with Computer Vision in collaboration with Falcon Food Services Equipment

[2019-2022] (ST Microelectronics/Univresity of Stirling: £143.75K) PhD studentship: Domain specific optimisations for real-time image processing on heterogeneous FPGA+CPU+GPU

[2019-2023] (Scotland's Rural College/Univresity of Stirling: £79K) PhD studentship: Improving animal health in marine ecosystem using data mining and signal/image processing

[2019-2020] (SFC/Industry: £10K) Targeted Advertising with Computer Vision (TACV) in collaboration with Nomadix Media

[2019-2020] (SPARK/University of Stirling: £11.75K) Novel Mathematical Methods For Improving Resolution of Earth Observation Data

[2018-2022] (ESRC: £370K) Identifying Novel Markers of Concealed Face Recognition

The project develops new ways through eye-tracking, physiological responses and micro-expressions, to detect recognition of familiar faces when people deny recognition of someone they know. It combines the Concealed Information Test (CIT) with theoretical models of familiar and unfamiliar face recognition to create novel and simple techniques that have the potential for use in a wide range of security settings.
[2018-2022] (ESRC: £370K) Identifying Novel Markers of Concealed Face Recognition

[2016-2019] (Leverhulme Trust: £130.5K) Elucidating the role of color in shape processing in human vision

[2015-2019] (Wellcome Trust: £208.7K) Towards a better understanding of mirror symmetry coding in human vision

[2015-2021] (EPSRC: £6.1M) Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management

FACER2VM is a five-year research programme aimed at making face recognition ubiquitous. The project will develop unconstrained face recognition technology for a broad spectrum of applications. The approach adopted will endeavour to devise novel machine learning solutions, which combine the technique of deep learning with sophisticated prior information conveyed by 3D face models.
[2015-2021] (EPSRC: £6.1M) Face Matching for Automatic Identity Retrieval, Recognition, Verification and Management

Recent Posts

Quickly discover relevant content by listing posts.
Postdoctoral Research Fellow: Intelligent food recognition and monitoring for patient wellbeing (INFORM) - Feb 2022
PhD Studentship [self-funded]: Modelling and classifying concealed face recognition - Jan 2021
PhD Studentship: Animal health in marine ecosystems: machine learning and data science to discover structure in unstructured data - March 2019
PhD Studentship: Domain Specific Optimisation Techniques for Real-time Image/Signal Processing on Heterogeneous FPGA+CPU platform - March 2019
Computer Vision Showcase - March 2019

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