Visual Computing

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.

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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

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

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

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

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.

Groups

Centres

Academics

Dr Tolga Birdal

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Dr Tolga Birdal Lecturer
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Location

Huxley Building

Research interests

3D computer vision, geometric machine learning, non-euclidean geometry, quantum computing.
Prof. Andrew Davison

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Prof. Andrew Davison Professor of Robot Vision
Send email+44 (0)20 7594 8316

Location

303, William Penney Laboratory

Research interests

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

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Prof Aldo Faisal Professor of AI & Neuroscience
Send email+44 (0)20 7594 6373

Location

407A, Huxley Building
4.08, Royal School of Mines

Research interests

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

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Dr Abhijeet Ghosh Professor of Graphics and Imaging
Send email+44 (0)20 7594 8351

Location

376, Huxley Building

Research interests

Appearance modeling, computational illumination, photography for graphics and vision.
Prof Ben Glocker

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Prof Ben Glocker Professor in Medical Image Computing
Send email+44 (0)20 7594 8334

Location

377, Huxley Building

Research interests

Biomedical image analysis, computer vision, semantic image understanding, machine learning.
Dr Edward Johns

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Dr Edward Johns Lecturer
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Location

365, ACEX Building

Research Interest

Robot Learning , Robot Manipulation, Deep Learning, Reinforcement Learning, Computer Vision
Dr Bernhard Kainz

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Dr Bernhard Kainz Reader
Send email+44 (0)20 7594 8349

Location

372, Huxley Building

Research interests

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

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Prof. Maja Pantic Professor of Affective & Behavioural Computing
Send email+44 (0)20 7594 8195

Location

380, Huxley Building

Research interests

Computer vision, machine learning, and affective computing.
Islem Rekik

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Islem Rekik Senior Lecturer at I-X
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Location

5^th floor, Imperial-X (I-HUB) White City Campus

Research interests

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

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Prof. Daniel Rueckert Professor of Visual Information Processing
Send email+44 (0)20 7594 8333

Location

568, Huxley Building

Research interests

Image acquisition and analysis using machine learning, medical applications.
Dr Viktoriia Sharmanska

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Dr Viktoriia Sharmanska Honorary Research Fellow
Send email+44 (0)20 7594 8241

Location

452, Huxley Building

Research interests

Computer Vision, Machine Learning, Deep Learning methods, Crowdsourcing.
Prof Bjoern Schuller

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Prof Bjoern Schuller Professor in Machine Learning
Send email+44 (0)20 7594 8357

Location

574, Huxley Building

Research interests

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

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Prof. Guang-Zhong Yang Director, The Hamlyn Centre
Send email+44 (0)20 7594 1499

Location

B411-412, Bessemer Building

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.
Dr Stefanos Zafeiriou

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Dr Stefanos Zafeiriou Professor
Send email+44 (0)20 7594 8461

Location

375, Huxley Building

Research interests

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