Imperial College London

ProfessorDanielRueckert

Faculty of EngineeringDepartment of Computing

Professor of Visual Information Processing
 
 
 
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Contact

 

+44 (0)20 7594 8333d.rueckert Website

 
 
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Location

 

568Huxley BuildingSouth Kensington Campus

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Summary

 

Graphics - COMP70090

Aims

In this module you will have the opportunity to study core computer graphics concepts, including the mathematical principles used for computer generated imagery, shading and light approximations. You will also learn different geometry representations and modelling techniques and will have the opportunity to apply what you have learnt to practical computer graphics problems, using modern shader languages and graphics accelerators.

Role

Course Leader

Machine Learning for Imaging - COMP70014

Aims

This module covers the fundamental concepts and advanced methodologies of machine learning for imaging and relates those to real-world problems in computer vision and medical image analysis. You will experience different approaches to machine learning including supervised and unsupervised techniques with an emphasis on deep learning methods. Topics include image segmentation, image registration, self-supervised learning, inverse problems (super-resolution, image reconstruction), causality in imaging, and trustworthy machine learning. A key objective is to equip you with the skills needed to work in, and conduct research into, image computing and applied machine learning.

Role

Course Leader