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Computer Vision and Machine Learning (CVML)

Overview

The Computer Vision and Machine Learning (CVML) Research Group emerged as a result of a cross-disciplinary interests in research and applications related to Computer Vision, Machine Learning and Medical Image Computing. The main focus of the group is to research, develop and deploy novel methods for analysis of visual information for medical and industrial applications. The group have led or been involved in a number of industry, EPSRC, FP7 and HEIF funded projects. The ongoing emphasis is on developing new vision and machine learning algorithms and their transfer to real world applications. The particular areas of interest include: Bayesian methodology for data modelling, pattern recognition and tracking; statistical shape analysis; deformation modelling for model-based recognition, segmentation and registration; medical imaging; intelligent energy management; data mining; and applications of deep learning

The ongoing progress in the mathematical tools, the growing prevalence of very large datasets, ever-increasing computational power and progress in imaging devices established the computer vision and machine learning as mature scientific disciplines with rapidly growing number of exploitations in wide spectrum of applications, such as machine condition monitoring, medical diagnosis, assistive living or autonomous vehicles to name just a few. The CVML group have a wide ranging skills, combing expertise from different disciplines, including: engineering, physics, computing and media. The group activities are supported by a dedicated research laboratory with various vision systems including number of static and dynamic 3D scanning devices, multi-camera acquisition and lighting systems, as well as dedicated GPU computing facilities. The activities of the group are further supported by the international collaborations, including Information Processing and System Teams (ETIS) at Cergy-Pontoise University, I3S laboratory at the University of Cote d’Azur, or Signals and Images Laboratory at the Institute of the National Research Council of Italy (CNR) in Pisa.

Find Out About All Our Engineering Research Activities

A sample of CVML applications, from left to right: (i) level-set object segmentation with statistical shape prior; (ii) head-pose estimation from depth camera; (iii) eye status detection from video

Expertise and subject areas

  • Medical Image Computations
  • Computer Vision
  • Machine Learning
  • Motion analysis
  • Data Analytics
  • Data Mining
  • Instrumentation and IoF
  • Embedded systems
  • Energy management

 

Impact

  • “Wize-mirror” unobtrusive wellbeing monitoring system
  • Software tools for medical image computations, including: detection, recognition segmentation and registration.
  • LIVEfield – Software for video augmentation and automated shot composition

Publications and outputs

Selected representative publications since 2014:

Henriquez Castellano, Pedro, Matuszewski, Bogdan J., Andreu-Cabedo, Yasmina, Bastiani, Luca, Colantonio, Sara, Coppini, Giuseppe, D'Acunto, Mario, Favilla, Riccardo, Germanese, Danila et al (2017) Mirror mirror on the wall... an unobtrusive intelligent multisensory mirror for well-being status self-assessment and visualization. IEEE Transactions on Multimedia, 19 (7). pp. 1467-1481.

Bernal, Jorge, Tajbakhsh, Nima, Sanchez, F. Javier, Matuszewski, Bogdan J.,  Chen, Hao, Yu, Lequan, Angermann, Quentin, Romain, Olivier, Rustad, Bjorn et al (2017) Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge. IEEE Transactions on Medical Imaging, 36 (6). pp. 1231-1249.

Tao, Lili and Matuszewski, Bogdan J., (2016) Robust Deformable Shape Reconstruction from Monocular Video with Manifold Forest. Machine Vision and Applications, 27 (6). pp. 801-819.

Veta, Mitko, van Diest, Paul J., Willems, Stefan M., Wang, Haibo, Madabhushi, Anant, Cruz-Roa, Angel, Gonzalez, Fabio, Larsen, Anders B.L., Vestergaard, Jacob S. et al (2014) Assessment of algorithms for mitosis detection in breast cancer histopathology images. Medical Image Analysis, 20 (1). pp. 237-248.

Quan, Wei, Matuszewski, Bogdan J., and Shark, Lik (2015) Statistical shape modelling for expression-invariant face analysis and recognition. Pattern Analysis & Applications . pp. 1-17.

Quan, Wei, Matuszewski, Bogdan J., and Shark, Lik (2016) 3-D Face Recognition Using Geodesic-Map Representation and Statistical Shape Modelling. Lecture Notes in Computer Science, 9493 . pp. 199-212.

Song, Zhuoyi, Zhou, Yu and Juusola, Mikko (2017) Modeling elucidates how refractory period can provide profound nonlinear gain control to graded potential neurons. Physiological reports, 5

Song, ZH, Zhou, Yand Juusola, M (2016) Random Photon Absorption Model Elucidates How Early Gain Control in Fly Photoreceptors Arises from Quantal Sampling. Frontiers in Computational Neuroscience, 10 .

Pretorius, AJ, Zhou, Yu and Ruddle, R (2015) Visual parameter optimisation for biomedical image processing. BMC Bioinformatics, 16 (S9). pp. 1-13.

View our members CLok profiles:

Events and News

2017

  • October 2017, demonstration of the Autonomous broadCasting Editing System (ACES) at the International Conference on Computer Vision (ICCV) in Venice.
  • September - Joint UCLan/UCA team wins the “Surgical Workflow Analysis in SensorOR” Challenge held at the Medical Image Computing and Computer Assisted Interventions (MICCAI) Conference (10-14 September 2017, Quebec)
  • September – UCLan team wins the Gastrointestinal Image ANAlysis (GIANA) Polyp Segmentation Challenge held at the Medical Image Computing and Computer Assisted Interventions (MICCAI) Conference (10-14 September 2017, Quebec)
  • July/August – 2 MSc students form University Cote d’Azur (UCA) work on Surgical Workflow Analysis as part of a summer internship at UCLan
  • July – Best Student Presentation award at the 30th International Conference on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2017)

2016

  • 14-15 December - UCLan team to participate in the SEMEOTICONS project showcase in Pisa.
  • July/August – 3 MSc students form Nice – Sophia Antipolis University work on the “Circuit Reconstruction from Electron Microscopy Images” project as part of a summer internship at UCLan.
  • 21-23 February – ECSON partners co-organise special session on Smart Embedded Biomedical Devices for In Situ Physiological Signal Processing – Smart – BIODEV 2016 at the 9th International Conference on Bio-Inspired Systems and Signal Processing BIOSIGNALS, Rome, Italy,

2015

  • 26-28 October – International Workshop on Big Data and Smart Sustainable Society at the 14th IEEE International Conference on Ubiquitous Computing and Communications (IUCC-2015), Liverpool, UK.
  • 9 October - Joint UCLan/Nice team participates in the MICCAI’s “EndoVis: Endoscopic Vision” Challenge.
  • 5 October – UCLan team participates in the MICCAI’s “GlaS: Gland Segmentation in Colon Histology Images” Challenge.
  • January – The best paper award at the International Conference on Pattern Recognition Applications and Methods (ICRPAM) for the paper entitled: “3-D Shape Matching for Face Analysis and Recognition”

Teaching

  • Computer Vision
  • Advanced Topics in Machine Intelligence
  • Patter Recognition
  • Instrumentation and Control

Members

Staff

Visiting Professors

  • Prof Aymeric Histace (University of Cergy-Pontoise)
  • Prof Frederic Precioso (Universite Cote d'Azur)

Projects

  • Motion detection, categorisation and estimation with deep learning.
  • Investigation of deep learning architectures for image segmentation applications
  • Investigation and comparative analysis of random forest techniques for computer vision applications
  • Simulation and prediction of energy consumption profiles for the built environment
  • Registration of images with missing data
  • 3D/4D imaging
  • Gastrointestinal Image ANAlysis (GIANA)
  • Surgical Workflow Analysis in the SensorOR

Externally Funded Projects:

  • LIVEfiled (Research in Broadcasting & Multimedia), Higher Education Innovation Funding (HEIF), 2016-2018.
  • Self-resilient reconfigurable assembly system with in-process quality improvement, EPSRC Grant No. EP/K019368, 2013-2018, in collaboration with Warwick University (as the leading partner) and supported by BAE Systems, EnginSoft Ltd, Georgia College of Engineering, Georgia Institute of Technology, Hexagon Metrology Ltd, Jaguar and Land Rover, Stadco Ltd, Universities of Huddersfield, University of Michigan.
  • SEMEiotic Oriented Technology for Individual’s CardiOmetabolic risk self-assessmeNt and Self-monitoring (SEMEOTICONS), EC 7th Framework, FP7-ICT-2013-10, Project No. 611516, in collaboration with: CNR (Italy), Foundation for Research and Technology – FORTH (Greece), Linköping University (Sweden), Norwegian University of Science and Technology Trondheim NTNU (Norway), CRNH (France), INTECS SPA (Italy), Hellenic Telecommunications & Telematics Applications Company - FORTHNET (Greece), DRACO Systems SL (Spain), COSMED SRL (Italy).
  • Growing Autonomous System Mission Management (GAMMA), Department of Business Innovation and Skills, 2012-2015, in collaboration with North West Aerospace Alliance (NWAA), BAE Systems, National Nuclear Laboratory Ltd, University of Liverpool, Lancaster, Manchester and Salford.
  • Dynamic Real-Time Three Dimensional Surface Sensor for Biomedical and Biometrics Applications, UCLan’s Research Equipment Development (RED) Fund, 2009-2010;
  • Technology in Radiotherapy Feasibility Studies (TeRaFS), EPSRC grant under the Cross-Disciplinary Feasibility Account, Grant No. EP/H024913/1, 2009-2011, in collaboration with Christie Hospital; Liverpool John Moores University; including partners from: Rosemere Cancer Centre at the Royal Preston Hospital; ETIS CRNS Laboratory at ENSEA Cergy-Pontoise University (France); Otto von Guericke Universität Magdeburg (Germany);
  • Dynamic Real-Time 3D Cameras for Computer Vision Applications, UCLan’s Teaching Equipment Fund, 2008;
  • Engineering and Computational Science for Oncology Network (ECSON), EPSRC grant awarded under the Collaborating for Success through People call, Grant No. EP/F013698/1, 2007-2009, in collaboration with Christie Hospital; Liverpool John Moores University; AGH University of Science and Technology (Poland); Jagiellonian University (Poland); Lyon Research Centre for Images and Intelligent Information Systems, CRNS (France), Signal and Image Processing Research Laboratory, CRNS (France), French National Institute for Research in Computer Science and Control, INRIA (France); Otto von Guericke Universität Magdeburg (Germany); Institute of Information Science and Technologies, CNR (Italy); Metrology Guided Radiation Therapy (MEGURATH), EPSRC Research Grant, Grant No. EP/D077540/1, 2007 - 2010, , in collaboration with Christie Hospital and Liverpool John Moores University;