Creating light field content from existing images and videos
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.
Light
field displays for the first time offer the viewer more than two views
of an object from different perspectives, and they can thus reproduce
the appearance of real-world objects which previously unachieved
fidelity. This has been demonstrated by first research prototype
displays, and commercial light field displays will become available
within the next few years. However, cameras for capturing light field
images or videos are not yet readily available, which is why this
project aims to create light field content from existing imagery, which
is readily available. To achieve this goal, the 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.
Requirements
Candidates
should normally have a good first degree (equivalent to a First Class
or 2:1 Honours), or a Master’s degree in computer science, visual
computing 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 highly desirable.
Funding notes
UK
and EU students applying for this project may be considered for a
University Research Studentship which will cover Home/EU tuition fees, a
training support fee of £1000 per annum and a tax-free maintenance
allowance of £14,296 (2016/17 rate) for 3.5 years.
Note: ONLY UK
and EU applicants are eligible for the studentship; unfortunately,
applicants who are classed as Overseas for fee paying purposes are NOT
eligible for funding.
We welcome all-year round applications from self-funded candidates and candidates who can source their own funding.
Additional information
Anticipated start date: 2 October 2017.
Informal enquires are welcomed and should be directed to Dr Christian Richardt (c.richardt@bath.ac.uk). Formal applications should be submitted via the University of Bath’s website: http://www.bath.ac.uk/science/graduate-school/research-programmes/how-to-apply/.
For more general information on studying for a PhD in computer science at Bath, see:http://www.bath.ac.uk/science/graduate-school/research-programmes/phd-computer-science/.
Application
The application deadline for this position is Tuesday, 31 January 2017.
Applications can be submitted via FindAPhD:https://www.findaphd.com/search/ProjectDetails.aspx?PJID=80681.
Applications
may close earlier than the advertised deadline if a suitable candidate
is found; therefore, early application is recommended.
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