Visual Computing research covers a range of topics including vision, graphics, intelligent behaviour understanding, and biomedical image computing. The work of the section has led to more than 8 best paper awards at major international conferences (IEEE FG, ICRA, ISMAR, MICCAI, SensorComm) and attracted four Marie Curie fellows.

The group has pursued a successful strategy of growth in several key areas novel modelling and filtering approaches for SLAM and real-time dense scene mapping. Intelligent behavior understanding, novel approaches to facial action and emotion prediction as well as novel approaches to robust face alignment, tracking and expression recognition, biomedical imaging computing, robotics & sensing, and appearance modelling for realistic computer graphics.

Related videos

Getting robots in the future to truly see

Professor Andrew Davison and Dr Stefan Leutenegger from the Dyson Robotics Lab at Imperial College London discuss the advances they are making in developing robotic vision.

Getting robots in the future to truly see

Getting robots in the future to truly see

Discussing the advances in developing robotic vision

Professor Andrew Davison and Dr Stefan Leutenegger from the Dyson Robotics Lab at Imperial College London discuss the advances they are making in developing robotic vision.

Deep Learning in Medical Imaging - Ben Glocker #reworkDL

Deep Learning in Medical Imaging - Ben Glocker #reworkDL

Machines capable of analysing and interpreting medical scans with super-human performance

Machines capable of analysing and interpreting medical scans with super-human performance are within reach. Deep learning, in particular, has emerged as a promising tool in our work on automatically detecting brain damage. But getting from the lab into clinical practice comes with great challenges. 

Andy Davison - Robots with vision

Andy Davison - Robots with vision

Unveiling plans to help robots understand more about the world around them

Current domestic robots are pretty dumb, unable to perform many chores promised by ‘Home of the future’ style TV shows of the 60s. With poor spatial awareness a key limiting factor, Professor Andrew Davison unveils plans to help robots understand more about the world around them.

Robot art

Robot art

Computer software that enables the user to control a robotic arm with eye commands

Engineers from Imperial College London have developed computer software that enables the user to control a robotic arm with eye commands to paint a simple picture.

Academics

Academics

  • Prof. Andrew Davison

    AD

    Personal details

    Prof. Andrew Davison Professor of Robot Vision

    +44 (0)20 7594 8316

    Research interests

    Computer Vision, Robotics, SLAM (Simultaneous Localisation and Mapping), Augmented Reality.

    Location

    303, William Penney Laboratory

  • Dr Aldo Faisal

    AF

    Personal details

    Dr Aldo Faisal Senior Lecturer in Neurotechnology

    +44 (0)20 7594 6373

    Research interests

    Neurotechnology, Biomedical Engineering, Machine Learning, Algorithmic Prediction of Human Behaviour.

    Location

    4.08, Royal School of Mines

  • Dr Abhijeet Ghosh

    AG

    Personal details

    Dr Abhijeet Ghosh Senior Lecturer

    +44 (0)20 7594 8351

    Research interests

    Appearance Modeling, Computational Illumination and Photography for Graphics and Vision.

    Location

    376, Huxley Building

  • Dr Benjamin Glocker

    BG

    Personal details

    Dr Benjamin Glocker Senior Lecturer in Medical Image Computing

    +44 (0)20 7594 8334

    Research interests

    Biomedical Image Analysis and Computer Vision with a focus on semantic understanding of images using Machine Learning.

    Location

    377, Huxley Building

  • Dr Bernard Kainz

    BK

    Personal details

    Dr Bernard Kainz Lecturer

    +44 (0)20 7594 8349

    Research interests

    Machine Learning, Visualisation, and Interactive Real-Time Image Processing, High-Performance Medical Data Analysis.

    Location

    372, Huxley Building

  • Dr Su-lin Lee

    SL

    Personal details

    Dr Su-lin Lee Lecturer

    +44 (0)20 7594 1702

    Research interests

    Dynamic shape instantiation for minimally invasive interventions, intraoperative imaging and guidance for endovascular procedures, and statistical shape modelling.

    Location

    B414A, Bessemer Building

  • Dr Steffan Leutenegger

    SL

    Personal details

    Dr Steffan Leutenegger Lecturer

    +44 (0)20 7594 7123

    Research interests

    Inductive Logic Programming, Machine Learning Applications in Molecular Biology, Intelligent Adaptive Agents and Natural Language Learning.

    Location

    307, William Penney Laboratory

  • Prof. Maja Pantic

    MP

    Personal details

    Prof. Maja Pantic Professor of Affective & Behavioural Computing

    +44 (0)20 7594 8195

    Research interests

    Computer Vision and Machine Learning for Affective Computing.

    Location

    375, Huxley Building

  • Prof. Daniel Rueckert

    DR

    Personal details

    Prof. Daniel Rueckert Professor of Visual Information Processing and Head of Department

    +44 (0)20 7594 8333

    Research interests

    Image Acquisition and Analysis using Machine Learning, Medical Applications.

    Location

    568, Huxley Building

  • Dr Bjoern Schuller

    BS

    Personal details

    Dr Bjoern Schuller Reader in Machine Learning

    +44 (0)20 7594 8357

    Research interests

    Machine Learning, Audiovisual Signal Processing, Human-Computer/Robot-Interaction and Affective Computing.

    Location

    421, Huxley Building

  • Prof. Guang-Zhong Yang

    GZY

    Personal details

    Prof. Guang-Zhong Yang Director, The Hamlyn Centre

    +44 (0)20 7594 1499

    Research interests

    Professor Yang’s main research interests are in medical imaging, sensing and robotics. In imaging, he is credited for a number of novel MR phase contrast velocity imaging and computational modelling techniques that have transformed in vivo blood flow quantification and visualization.

    Location

    B411-412, Bessemer Building

  • Dr Stefanos Zafeiriou

    SZ

    Personal details

    Dr Stefanos Zafeiriou Reader

    +44 (0)20 7594 8461

    Research interests

    Statistical machine learning with Applications in Computer Vision and Image/Signal analysis. 

    Location

    375, Huxley Building