Hand image on monitor

Visual Information Processing 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.

Staff


PhotoResearch Interests
  Photo of Prof Andrew Davison

 Prof Andrew Davison (Head of Section)

Computer Vision, Robotics, Artificial Intelligence, SLAM, Augmented Reality

  Photo of Dr Abhijeet Ghosh

 Dr Abhijeet Ghosh

Appearance Modeling, Computational Illumination and Photography for Graphics and Vision

Photo of Prof Duncan Gillies

Prof Duncan Gillies

Probabilistic Inference, Modelling of the Human Airway, eTRIKS Trello and eTRIKS Telecon

 Photo of Dr Benjamin Glocker

Dr Ben Glocker

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

B Kainz

Dr Bernhard Kainz

High-performance computing with applications in computer vision, medical image analysis, machine learning, and interactive real-time visualization. In particular, massively parallel single-instruction, multiple-data (SIMD) architectures to design novel algorithms and systems with a special focus on their applicability in the (clinical) practice.

  Photo of Dr Su-Lin Lee

 Dr Su-lin Lee

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

S Leutenegger

 Dr Stefan Leutenegger

Vision-based localisation and mapping (SLAM), mobile robots, Unmanned Aerial Systems (UAS), multi-sensor fusion, model-based estimation and control.

  Photo of Prof Maja Pantic

Prof Maja Pantic

Sensing and understanding human non-verbal interactive actions and intention, Computer Vision and Machine Learning for sensing and modelling multimodal human affective and interactive signals, realizing spatiotemporal analysis of human facial/ bodily/ vocal signals, integrating multiple sensors and pertinent modalities according to the model of the human sensory system, and learning individual and context dependent human-behaviour models

  Photo of Prof Daniel Rueckert

Prof Daniel Rueckert

Development of algorithms for image processing and image analysis – in particular in the areas of registration, reconstruction, tracking, segmentation and modelling. Translation to applications in medical image computing; in particular for computer-aided detection and diagnosis, computer-aided treatment planning, computer-guided interventions and therapy, modelling of complex biological systems.

  Photo of Prof Guang-Zhong Yang

Prof Guang-Zhong Yang

Robotics (surgical robots, assistive robots, micro/nano robots and brain computer interface). Imaging(cardiovascular imaging, image guided navigation, surgical imaging and vision, biophotonics). Sensing(body sensor networks, surgical implants, ESPRIT, smart environment).

  Photo of Dr Stefanos Zafeiriou

Dr Stefanos Zafeiriou (Deputy Head of Section)

Statistical machine learning (with emphasis on component analysis and kernel learning) with applications in computer vision and general image/signal analysis. In particular, I design and develop statistical machine learning algorithms taylored for 2D/3D object and face recognition, 2D/3D object tracking, 2D/3D deformable object/face alignment, as well as, automatic human behaviour analysis. I apply such algorithms for analysis of various other signals (e.g., brain signals and graphs).

 
Summary of the table's contents