|Funding for:||UK Students, EU Students|
|Funding amount:||£15,000 maintenance grant per annum|
|Placed On:||17th September 2019|
|Closes:||31st October 2019|
Funding amount: £15,000 maintenance grant per annum
Lead Supervisor name: Professor Wen Tang
Augmented reality (AR) technology integrates our physical world with the virtual world, creating an enhanced environment for users. Stable and accurate large scale dynamic object registration, however, remains an unmet challenge in augmented reality (AR).
SLAM, simultaneous localisation and mapping, is a technique adapted in AR for real-time or online 3D reconstruction and point cloud matching. Achieving accurate object registration and matching is an intricate task of balancing between 3D object reconstruction quality, speed, spatial scale and scene understanding. Among many computational strategies, employing an efficient optimisation scheme is at the core of AR computational framework.
This project will be focused on studying Discriminative Optimisation (DO) scheme, a recent advanced learning-based optimisation algorithm, to overcome the challenge of large scale dynamic registration. The research team will investigate the theoretical definitions and practical use of DO in computer vision and AR with a particular focus on dynamic object tracking and reconstruction. By developing a computational framework, the project team will apply the real-time computational algorithm and theoretical framework to a range of augmented reality applications.
What does the funded studentship include?
Funded candidates will receive a maintenance grant of £15,000 per annum (unless otherwise specified), to cover their living expenses and have their fees waived for 36 months. In addition, research costs, including field work and conference attendance, will be met.
Funded Studentships are open to both UK/EU and International students unless otherwise specified.
Candidates for funded PhD studentship must demonstrate outstanding qualities and be motivated to complete a PhD in 3 years.
Studentship candidates must demonstrate outstanding academic potential with a 1st class honours degree and/or a Master’s degree with distinction. An IELTS (Academic) score of 6.5 minimum (with a minimum 6 in each component) is essential for candidates for whom English is not their first language.
Additional Eligibility Criteria:
Candidates with a BSc degree or Master’s degree in Computer Science or related subjects.
In addition to satisfying basic entry criteria, BU will look closely at the qualities, skills and background of each candidate and what they can bring to their chosen research project in order to ensure successful and timely completion.
Closing date: The first call for applications will close on 31 October 2019.
For further information on how to apply click the ‘Apply’ button below or email email@example.com
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