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IMVIP 2018

Irish Machine Vision and Image Processing Conference

August 29-31 2018
Ulster University, Belfast campus

IMVIP 2018

  • IMVIP 2018

    Key dates:

    Paper submission is now closed.

    Notification of Acceptance: 6th July 2018

    Camera-ready papers: 17th July 2018

    Early Registration deadline extended to 20th July 2018.

    Conference Co-chairs:

    Welcome to the homepage of the Irish Machine Vision and Image Processing Conference, which will take place from August 29th - 31st 2018 in Ulster University, Belfast. IMVIP brings together theoreticians and practitioners, industrialists and academics, from the numerous related disciplines involved in the processing and analysis of image-based information.

    We invite submissions to IMVIP 2018 of papers presenting novel research contributions or applications related to any aspect of computer vision or image processing. IMVIP is the annual conference of the Irish Pattern Recognition and Classification Society, a member body of the International Association for Pattern Recognition (IAPR). IMVIP 2018 is a single-track conference emphasising both theoretical research results and practical engineering experience. The conference attracts both national and international participation, and provides an excellent forum for networking with academics, companies, researchers and students working in the area. The conference programme will include oral and poster presentations, invited keynote speakers from world leading experts, industry demonstrations, and prizes for both Best Paper and Best Student Paper.

    Full papers will be subject to a double-blind review process by the programme committee. Contributions are sought in all aspects of image processing, pattern analysis and machine vision, including but not restricted to the following topics:

    • Machine Learning and Deep Learning
    • Robot Vision Systems
    • Object and Event Recognition
    • Semantic Analytics
    • Scene Analysis and Visualisation
    • Medical and Bio-medical Imaging
    • Biometrics and Forensic Science
    • Face and Gesture Recognition
    • Social media applications with images and videos
    • Cognitive and Biologically-inspired Vision
    • Image Segmentation and Enhancement
    • Data Clustering and Texture Analysis
    • Applications, Architectures and Systems Integration
    • Image & Video Representation, Compression and Coding
    • Active Vision, Tracking and Motion Analysis
    • Image/Shape Representation and Recovery
  • Keynotes


    Prof. Hiroshi Ishikawa
    Director of the Computer Vision and Analysis Lab
    Department of Computing and Engineering
    Waseda University

    Structured Prediction by Fully Convolutional Deep Neural Networks

    Best known for its breakthrough on the classification problem of general images, deep learning is now increasingly applied to other, more complex tasks. Whereas the output of a classification algorithm is a simple label, these tasks require more structured output such as an image. In this talk, I will present some recent results in our research in image transformation problems such as colorization of greyscale images and image completion. A fully convolutional network is suited to such tasks as it can handle input and output images of any size without relearning.


    Prof. Jiri Matas
    Centre for Machine Perception
    Department of Cybernetics
    Czech Technical University

    Multi-Class Multi-Instance Model Fitting in Computer Vision

    Many computer vision problems can be formulated as data fitting. In multi-class multi-instance fitting, the input data is interpreted as a mixture of noisy observations originating from multiple instances of multiple model types, e.g. as k lines and l circles in 2D edge maps, as k planes, l cylinders and m point clusters in 3D laser scans, as multiple homographies or fundamental matrices consistent with point correspondences in multiple views of a non-rigid scene.

    After reviewing the evolution of data fitting methods including the Hough Transform, RANSAC and PEARL, I will present a novel method, called Multi-X, for general multi-class multi-instance model fitting. The proposed approach combines global energy minimization using alpha-expansion and mode-seeking in the parameter domain. Multi-X outperforms significantly the state-of-the-art on the standard dataset, runs in time approximately linear in the number of data points at around 0.1 second per 100 points, an order of magnitude faster than available implementations of commonly used methods.

    I will also show how to plug efficiently and effectively the energy term into RANSAC. The resulting GC-RANSAC employs graph cut as local optimization to achieve state-of-the-art results.


    Prof. dr. Zeno Geradts

    Senior forensic scientist at the Netherlands Forensic Institute, and Professor of Forensic Data Science, University of Amsterdam.

    Machine Vision and Image Processing in Forensic Science

    The forensic science community makes since the last decades much more use of machine vision. The algorithms and computing power have been improved. Image processing is routinely used in cases of CCTV, and intelligent search by machine vision is also progressing. An overview is given of the current state of the art, concerning face comparison as well as other biometric features such as posture, gait and hand and feet comparison. In robbery cases sometimes hands are a feature that can be used.

    For child abuse cases also the feet are sometimes used for additional evidence, although research on algorithms for feet comparison is rare. The challenge in forensic science is also the combination of features and reporting of the evidence as a likelihood ratio. Since deep learning algorithms are more widely used, and calculation speed is improving, the use of camera identification based on Photo Non Uniformity (PRNU) is also progressing. Some expectations in combined analysis are given with big data analysis systems as well as faster results in forensic science based on these methods, for instance in the European Union Horizon2020 project ASGARD.

    Currently there are also many efforts in the anti-forensic field, such as morphing of faces and forging PRNU. Detection of those forgeries is a research topic that is expected to attract much more attention in the future.

  • Registration

    Registration for IMVIP 2018 is open.

    Registration costs are listed below for both early and standard registrations, and for both students and non-students.

    All registration types cover attendance at the conference, tea/coffee during breaks, lunch on Thursday 30th August, the conference welcome reception, and the conference dinner.

    Early Registration (available up to 20th July 2018):

    • Early non-student: £240
    • Early student: £200

    Standard Regstration:

    • Non-student: £270
    • Student: £230

    Book your place

  • Programme

    Wednesday 29th August

    12pm - 2pm Registration desk open
    2pm - 2.15pm Welcome and Opening Remarks
    2.20pm - 3.20pm

    Keynote 1: Prof. Hiroshi Ishikawa

    “Structured Prediction by Fully Convolutional Deep Neural Networks”

    3.20pm - 3.50pm Tea Break

    Oral Paper Session 1

    3.50pm - 4.10pm

    1.1 Seam Carving for Content-aware Wide-angle Projection of Panoramic Photography

    Darren Coughlan, Paul Cuffe

    4.10pm - 4.30pm

    1.2 Colour Correction for Stereoscopic Omnidirectional Images

    Simone Croci, Mairéad Grogan, Sebastian Knorr, Aljosa Smolic - 4.50pm

    1.3 Artifacts Reduction in JPEG-Compressed Images using CNNs

    Fatma Albluwi, Vladimir A. Krylov, Rozenn Dahyot

    4.50pm - 5.10pm

    1.4 Visual and Semantic Feature Spaces for Zero-shot Image Decoding

    Ben McCartney, Jesus Martinez-del-Rincon, Barry Devereux, Brian Murphy

    5.10pm - 5.30pm

    1.5 Security Analysis of the First Phase Mask in Double Random Phase Encryption

    Lingfei Zhang, Thomas J. Naughton

    5.30pm - 6.30pm

    MVIP 2018 Welcome Reception

    The Academy Restaurant, Ulster University Belfast campus

    Thursday 30th August

    Oral Paper Session 2

    9.10am - 9.30am

    2.1 3D Point Cloud Segmentation using GIS

    Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot

    9.30am - 9.50am

    2.2 LAP-based Tracking for Focal Adhesions

    Katerina Lomanov, Jesús Martínez del Rincón, Paul Miller, Hugh Gribben

    9.50am - 10.10am

    2.3 Salient Obstacle Avoidance for Robotic Systems

    Christopher Cooley, Sonya Coleman, Bryan Gardiner, Bryan Scotney

    10.10am - 10.30am

    2.4 Collaborative Dense SLAM

    Louis Gallagher, John B. McDonald

    Poster Pitches/Poster Session1/Coffee Break

    10.30am - 11.20am

    P1.1 Batch Normalization in the Final Layer of Generative Networks

    Seán Mullery, Paul F. Whelan

    P1.2 Template Matching for Head Pose Estimation

    Shane Reid, Sonya Coleman, Dermot Kerr, Philip Vance, Siobhan O’Neill

    P1.3 Impact Analysis and Tuning Strategies for Camera Image Signal Processing Parameters in Computer Vision

    Lucie Yahiaoui, Jonathan Horgan, Senthil Yogamani, Ciaran Hughes, Brian Deegan

    P1.4 Designing Objective Quality Metrics for Panoramic Videos based on Human Perception

    Sandra Nabil, Raffaella Balzarini, Frederic Devernay, James Crowley

    P1.5 The Effects of Noise on Deep Learning Architectures

    James Hamm, Thomas J. Naughton

    Oral Paper Session 3

    11.20am - 11.40am

    3.1 Neuromorphic Event-based Space-Time Template Action Recognition

    Shane Harrigan, Dermot Kerr, Sonya Coleman, Pratheepan Yogarajah, Zheng Fang, Chengdong Wu

    11.40am 12pm

    3.2 Natural Gesture Extraction Based on Hand Trajectory

    Naoto Ienaga, Bryan W. Scotney, Hideo Saito, Alice Cravotta, M. Grazia Busà

    12pm - 12.20pm

    3.3 Gesture Recognition with Thermopile Sensors

    Matthew Burns, Philip Morrow, Chris Nugent, Sally McClean
    12.20pm - 12.40pm

    3.4 Towards Deep Learning-Based Emotion Detection for Affective Well-being

    Rahul Sridhar, Haiying Wang, Huiru Zheng

    12.40pm - 2pmLunch
    2pm - 3pm

    Keynote 2: Prof. Jiri Matas

    “Multi-Class Multi-Instance Model Fitting in Computer Vision”

    Oral Paper session 4

    3pm - 3.20pm

    4.1 Local Septenary Patterns for Breast Density Classification in Mammograms

    Andrik Rampun, Bryan Scotney, Hui Wang, Philip Morrow

    3.20pm - 3.40pm

    4.2 Three-Dimensional Inverse-Weighted Interpolation of Cardiac Magnetic Resonance Images

    James Fitzpatrick, Lorenzo Trojan, Niall Haslam, Kathleen Curran

    3.40pm - 4.10pmTea Break

    Oral Paper Session 5

    4.10pm - 4.30pm

    5.1 A Geometry-Sensitive Approach for Photographic Style Classification

    Koustav Ghosal, Mukta Prasad, Aljosa Smolic

    4.30pm - 4.50pm

    5.2 Automatic Palette Extraction for Image Editing

    Mairéad Grogan, Matis Hudon, Daniel McCormack, Aljosa Smolic

    4.50pm - 5.10pm

    5.3 Detection of Deepfake Video Manipulation

    Marissa Koopman, Andrea Macarulla Rodriguez, Zeno Geradts

    5.30pm - 6.30pmIPRCS AGM

    IMVIP 2018 Conference Dinner

    Bert’s Jazz Bar, The Merchant Hotel, Belfast

    Friday 31st August

    9.20am - 10.20am

    Keynote 3: Prof. dr. Zeno Geradts

    “Machine Vision and Image Processing in Forensic Science”

    10.20am - 11.10am

    Poster Pitches/Poster Session2/ Coffee Break

    P2.1 Feature Selection, Reduction and Classifiers using Histogram of Oriented Gradients: How important is Feature selection?

    Ryan Melaugh, Nazmul Siddique, Sonya Coleman, Pratheepan Yogarajah

    P2.2 Evaluation of Residual Learning in Lightweight Deep Networks for Object Classification

    Arindam Das, Senthil Yogamani

    P2.3 Comparison of Texture Recognition Algorithms

    Christina Sherly, Sonya Coleman, Dermot Kerr, Bryan Gardiner, Chengdong Wu

    P2.4 Vehicle Blind Spot Monitoring using YOLO Object Detection

    Maurice Barry, Seán Mullery

    P2.5 Identification of Spatial Relationships in Arabic Handwritten Expressions using Multiple Fusion Strategies

    Ibtissem Hadj Ali, Mohamed Ali Mahjoub

    Oral Paper Session 6

    11.10am - 11.30am

    6.1 A Comparative Study of Face Re-identification Systems under Real-World Conditions

    Glen Brown, Jesús Martínez del Rincón, Paul Miller

    11.30am - 11.50am

    6.2 Validation of Score-based Likelihood Ratio Estimation for Automated Face Recognition

    Andrea Macarulla Rodriguez, Zeno Geradts, Marcel Worring

    11.50am - 12.10pm

    6.3 A Minkowski Distance-based Generalisation Method for Improving Centre Loss for Deep Face Recognition

    Xin Wei, Hui Wang, Bryan Scotney, Huan Wan

    12.10pm - 12.30pm

    6.4 Face Morphing Detection

    Ilias Batskos, Andrea Macarulla Rodriguez, Zeno Geradts

    12.30pm - 12.50pmBest Paper Awards & Closing Remarks
  • Conference Proceedings

    All accepted papers will be published in the conference proceedings and will be available online under open access via the Ulster University Institutional Repository.

    Student Bursaries

    This year we will be awarding a number of student bursaries consisting of a conference registration fee waiver to support student participation in the conference.

    These bursaries will be awarded on a competitive basis.

    The eligibility criteria are that applicants must be a full-time or part-time student (confirmed by a letter from their supervisor), and must have either a long or short paper accepted at the conference.

    To apply for a student bursary, download the application form and send your completed form by email to

    Download application form

    • The closing date for applications will be 5pm GMT 20th July 2018.
    • Final decisions on award recipients will be communicated by 31st July 2018.

    Please note that applicants are still required to register for the conference.

    The mechanism for awarding the bursaries will be to refund the recipients their registration fee through the online registration system.

  • Venue & Travel

    IMVIP 2018 will be held at the Belfast campus of Ulster University, situated in the artistic and cultural centre of the city, the Cathedral Quarter.

    Although traditionally associated with art, the campus spans an increasing and exciting range of subjects including architecture, hospitality, event management, photography and digital animation.

    Ulster University’s Belfast campus plays host to frequent fashion shows and art exhibitions and is an exciting place to study and work. It is also home to The Academy training restaurant.

    Belfast Campus address: Ulster University, York Street, Belfast, BT15 1ED, Northern Ireland.

    Car Parking

    If travelling by car, there is a multi-storey car park – Q Park (St. Anne’s Square) – located just beside the campus.

    Travelling to Belfast

    Belfast has two airports, Belfast International Airport, and Belfast City Airport (also named the George Best Belfast City airport.) Both are served by many regional EU airports.

    The travel time to Belfast by car or bus from the International airport is 30-40 minutes, and from the City George Best is around 10-15 minutes.

    Dublin airport is a larger airport that serves many EU regional airports. A regular bus service links Dublin airport to Belfast, and takes approximately 1 hour 45 minutes.

    Belfast International Airport

    You can travel into Belfast either by taxi or bus; there is a regular service that takes you to the Europa/Great Victoria Street Bus Station It is then a short walk to the Belfast campus (15 minutes).

    Bus timetables are available at:

    Taxis can be pre-booked and there is also a taxi rank.

    George Best City Airport

    You can travel into Belfast either by taxi, bus or train; there is a regular service that takes you to the Europa/Great Victoria Street Bus Station It is then a short walk to the Belfast campus (15 minutes).

    Bus timetables are at:

    Taxis can be pre-booked at and there is also a taxi rank.

    Dublin Airport

    You can travel to Belfast from Dublin City Centre or Dublin airport by a direct bus that alights at Great Victoria Street/ Glengall Street in Belfast. It is then a short walk to the Belfast campus (15 minutes).

    There are two regular bus services from Dublin and Dublin airport to Belfast, and details can be found at and

    You can also travel by train from Dublin City Centre (Connolly Street Station) to Belfast (Belfast Central Station): The journey time is approximately 2 hours.

    Travel by train directly from Dublin Airport to Belfast is not possible unless you first travel (by bus or taxi) to Dublin City Centre.

  • Staying in Belfast

    Belfast is a vibrant, small city and you may wish to extend your stay for a day or two.

    The Ramada Encore and the Premier Inn hotels are both located within a 2-minute walk of the campus; the Premier Inn is slightly cheaper (around £60) than the Ramada Encore.

    There are many other accommodation options available, including good quality B&B accommodation, and a range of 3* and 4* hotels. The Merchant Hotel (5*) is also located just a few minutes’ walk away.

    3* Hotels

    4* Hotels

    5* Hotels

  • Instructions for Authors


    Full papers

    Full papers must be a maximum of 8 pages including references and appendices.

    Full papers will be published in the conference proceedings, can be presented as a talk or a poster during the conference, and can be associated with demos also presented at the conference.

    Short papers

    Short papers must be a maximum of 4 pages including references and appendices.

    Short papers are a convenient way of presenting in-progress research, student projects, or machine vision applications in industry.

    Short papers will be published in the conference proceedings, can be presented as a poster during the conference, and can be associated with demos also presented at the conference.

    Poster presenters will also have an opportunity to give a 2-minute overview of their work orally.

    Template Files

    All submissions must be in pdf format and must follow the formatting specified in the LaTeX template files found at the following link: The template provides instructions and examples for common document elements.

    We also provide the following linked Microsoft Word template: imvip2018_Formatting_Instructions.docx

    The Word template includes styles and layout settings that should assist in generating a pdf that is consistent with the LaTeX template output.

    If using the Word template, please ensure that the final formatting abides by the LaTeX formatting as shown in the pdf file in


    All papers must be submitted through the following link and should NOT include author names and affiliations:

    Submission of a paper to the conference implies that, upon acceptance of the submission, at least one of the authors will register for the conference and present the paper.

    Double-blind Review Process

    All contributed papers will be subject to a double-blind review where both the authors and reviewers are anonymous.

    Hence it is important that authors do not identify themselves in their own paper. In particular, submissions for review should not include author names or affiliations.