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motion perception PhD Projects, Programs & Scholarships

We have 6 motion perception PhD Projects, Programs & Scholarships

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  eSports: perceptual, cognitive and visuomotor skill development in the digital world
  Dr D Souto, Dr P Duke
Application Deadline: 5 May 2019
Competitive video-gaming, also known as eSports, is rapidly growing to occupy the role of traditional sporting events. eSports has become a billion-dollar industry, supports professional leagues, has global reach via online tournaments and is being considered for inclusion in the 2024 Paris Olympics.
  Reflection-Aware Simultaneous Localization and Mapping (RA-SLAM)
  Dr J Wu, Dr Y Lai, Dr Z Ji
Application Deadline: 23 April 2019
Reflections are ubiquitous in our environments, and are utilised by our vision system to extend the field of view to non-line of sight scenes and objects.
  Deformable 3D reconstruction of endoluminal anatomy by miniature steerable chip-on-tip endoscopy
  Dr C Bergeles
Applications accepted all year round
1st Supervisor - Dr Christos Bergeles. 2nd Supervisor - Professor Kawal Rhode. Chip-on-tip steerable endoscopes are rapidly improving due to tandem innovation in robotics technology and highly-integrated cameras.
  Defining and measuring mid-flexion instability following total knee replacement
  Ms L Biant
Application Deadline: 30 April 2019
Total knee replacement (TKR) is an established treatment for knee osteoarthritis and leads to a satisfactory outcome in over 75% of patients.
  Deep learning based multi-sensory SLAM (simultaneous localisation and mapping) for very fast moving vehicles
  Dr W Li
Application Deadline: 1 April 2019
The goal of this project is to achieve a high quality closed-looped map of real-world environment in semantic context, using RGB camera and additional multiple advanced sensors including events, infrared cameras, IMU and LiDAR etc.
  PhD Studentship Opportunity in Generating virtual camera views using Generative Networks
  Dr S Hadfield, Dr A Gilbert
Applications accepted all year round
This project will explore how advances in Generative networks and deep-learning approaches to inpainting can be combined to create virtual camera views.
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