• Queen’s University Belfast Featured PhD Programmes
  • Staffordshire University Featured PhD Programmes
  • University of Manchester Featured PhD Programmes
  • University of East Anglia Featured PhD Programmes
  • University of Warwick Featured PhD Programmes
  • Northumbria University Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • University of Southampton Featured PhD Programmes
Brunel University London Featured PhD Programmes
University of Leeds Featured PhD Programmes
Helmholtz Zentrum München Featured PhD Programmes
University of Huddersfield Featured PhD Programmes
Heriot-Watt University Featured PhD Programmes

Light field synthesis from existing imagery

This project is no longer listed in the FindAPhD
database and may not be available.

Click here to search the FindAPhD database
for PhD studentship opportunities
  • Full or part time
    Dr C Richardt
  • Application Deadline
    No more applications being accepted
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

This project is open to applicants wishing to be considered for the Marie Sklodowska-Curie Research Fellowship Programme, Fellows with Industrial Research Enhancement (FIRE) https://www.bath.ac.uk/jobs/Vacancy.aspx?ref=FY4063.
Applicants who are able to source their own funding are also invited to apply.

The goal of this project is to create appealing visual content for upcoming light-field displays from existing imagery, particularly from image and video collections such as historical photos or consumer videos. This project will research and develop image- and video-based rendering approaches for synthesising visually plausible novel views, as well as new data-driven inpainting techniques for filling occlusion holes in a visually consistent manner.

All candidates should hold a minimum of a good first degree (equivalent to a First class or Upper Second Class Honours) in computer science or a related discipline. A strong mathematical background and strong previous programming experience, preferably in C++ and/or Python, is required. Candidates must have a strong interest in visual computing, and previous experience in computer vision, computer graphics and image processing is very desirable. All non-UK applicants must meet the English language requirements of the University of Bath, Science Graduate School (currently a minimum IELTS score of 6.5 overall, with at least 6.0 in each of the four components).

In addition, those applying for a Marie Sklodowska-Curie Fellowship should hold a masters level qualification or equivalent experience, must comply with the EU definition of Early Stage Researchers (specifically not hold a doctoral degree) and must not have resided, or carried out their main activity (work or studies), in the UK for more than 12 months in the 3 years prior to the start of the Fellowship start date.

Informal enquires are welcome and should be directed to Dr Christian Richardt ([Email Address Removed]).

For more general information, see:

To apply, please click on “Apply Online” and select “PhD programme in Computer Science (full-time)”. Marie Sklodowska-Curie Fellows should also submit a job application. For more information, please see: http://www.bath.ac.uk/science/graduate-school/research-programmes/funding/msca-fire/

The start date for Marie Sklodowska-Curie Fellows is Monday 26 September 2016. Self-funded students may start at any time.

This is a re-advertisement. Previous applicants will still be considered and need not re-apply.

Funding Notes

Candidates awarded a Marie Sklodowska-Curie Fellowship will receive a salary of £17,000 per annum on a fixed term basis of up to 4 years.

Related Subjects

Cookie Policy    X