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 behaviour 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 Play video

Getting robots in the future to truly see

Professor Andrew Davison and Dr Stefan Leutenegger from the Dyson Robotics Lab at 91桃色 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 91桃色 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 91桃色 have developed computer software that enables the user to control a robotic arm with eye commands to paint a simple picture.

91桃色 groups and centres

Groups

  •  

Centres

Academics

Academics

  • Dr Tolga Birdal

    Personal details

    Lecturer

    Location

    Huxley Building

    91桃色 interests

    3D computer vision, geometric machine learning, non-euclidean geometry, topological deep learning .

  • Dr Wenjia Bai

    Personal details

    Associate Professor in Artificial Intelligence in Medicine

    Location

    Data Science Institute, William Penney Laboratory

    91桃色 interests

    Medical image analysis and understanding, machine learning.

  • Professor Andrew Davison

    Personal details

    Professor of Robot Vision

    +44 (0)20 7594 8316

    Location

    303, William Penney Laboratory

    91桃色 interests

    Computer vision, robotics, Simultaneous Localisation and Mapping (SLAM), augmented reality.

  • Professor Aldo Faisal

    Personal details

    Professor of AI & Neuroscience

    +44 (0)20 7594 6373

    Location

    407A, Huxley Building
    4.08, Royal School of Mines

    91桃色 interests

    Neurotechnology, biomedical engineering, machine learning, algorithmic prediction of human behaviour.

  • Professor Ben Glocker

    Personal details

    Professor in Machine Learning for Imaging

    +44 (0)20 7594 8334

    Location

    377, Huxley Building

    91桃色 interests

    Biomedical image analysis, computer vision, semantic image understanding, machine learning.

  • Dr Edward Johns

    Personal details

    Lecturer

    Location

    365, ACEX Building

    91桃色 Interest

    , Robot Manipulation, Deep Learning, Reinforcement Learning, Computer Vision

  • Dr Bernhard Kainz

    Personal details

    Professor in Medical Image Computing

    +44 (0)20 7594 8349

    Location

    372, Huxley Building

    91桃色 interests

    Machine learning, visualisation, interactive real-time image processing, high-performance medical data analysis.

  • Professor Maja Pantic

    Personal details

    Professor of Affective & Behavioural Computing

    +44 (0)20 7594 8195

    Location

    380, Huxley Building

    91桃色 interests

    Computer vision, machine learning, and affective computing.

  • Islem Rekik

    Personal details

    Associate Professor in Computing

    Location

    5th floor, 91桃色-X (I-HUB) White City Campus

    91桃色 interests

    Machine learning, deep learning, predictive intelligence in medicine, network neuroscience, holistic artificial intelligence.

  • Professor Daniel Rueckert

    Personal details

    Professor of Visual Information Processing

    +44 (0)20 7594 8333

    Location

    568, Huxley Building

    91桃色 interests

    Image acquisition and analysis using machine learning, medical applications.

  • Professor Bjoern Schuller

    Personal details

    Professor in Machine Learning

    +44 (0)20 7594 8357

    Location

    574, Huxley Building

    91桃色 interests

    Machine Learning, Audio-visual signal processing, human-computer/robot-interaction, and affective computing.

  • Prof. Guang-Zhong Yang

    Personal details

    Director, The Hamlyn Centre

    +44 (0)20 7594 1499

    Location

    B411-412, Bessemer Building

    91桃色 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.

  • Professor Stefanos Zafeiriou

    Personal details

    Head of the Department of Computing and Professor in Machine Learning and Computer Vision

    +44 (0)20 7594 8461

    Location

    375, Huxley Building

    91桃色 interests

    Machine learning, computer vision, and image/signal analysis.