Real time camera view transformation and visualisation in mixed reality

We are seeking excellent candidates with interests in computer vision, image processing, Artificial Intelligence (AI), and deep learning who want to study at a top 10 UK research-led University whilst working with industrial partners.

Full Project Detail

The studentship is co-sponsored by Suke Intel and you will join a growing research group within the Department of Computer Science. This project is an exciting opportunity to develop computer vision algorithms and software to conduct automatic and robust camera calibration, 3D reconstruction, and real time online view transformation for applications such as mixed reality, surveillance, entertainment, virtual shopping and human-computer interaction. Any knowledge in image processing, AI and deep learning algorithms will be helpful. Any experience in robust vanishing point detection would be desirable. The successful candidate will understand the real challenges from real applications on computer vision algorithms and their implementation on embedded systems.

Application details

Applicants should have, or expect to achieve, at least a 2:1 Honours degree (or equivalent) in related engineering or computer science degree with strong programming skills. A relevant Master’s degree and/or experience in computer vision is desirable.
Applicants must meet the minimum English Language requirements, details available at: http://www.lboro.ac.uk/international/applicants/english/.

Reference number: CDTEI_Meng
Closing date of advert: 1st April 2018
Start date of studentship: 1st October 2018
Interview date: TBC