Next generation 3D imaging for diabetic footcare

Study level


Master of Philosophy


Vacation research experience scheme

Topic status

We're looking for students to study this topic.


Dr Ross Brown
Senior Lecturer
Division / Faculty
Science and Engineering Faculty
Dr Frederic Maire
Senior Lecturer
Division / Faculty
Science and Engineering Faculty


This project is for strong students undertaking their group capstone project. It is expected that you will be working in a small team to explore and develop 3D imaging techniques for diabetic footcare by patients. This project is part of an engagement grant collaboration with CHI, podiatry, augmented reality and computer vision researchers.

Research activities

The research activities are drawn from the following general areas:

  1. Image capture with mobile devices: using computer vision and AI techniques to explore the development of a 3D model of patient's feet in a manner that is easy for the patient or carer to capture using mobile phones.
  2. Wound analysis: tracking of wound size over time using computer vision or deep learning techniques applied to the 3D model.
  3. Visualisation: visualisation of 3D foot, related data and wounds using AR techniques - on mobile or in immersive Hololens.


Theoretical analysis and development of computer vision techniques to support the previous research activities.  Production of prototype software as proof of concept.  User study results.

Skills and experience

Experience in one or more of the following:

  • Photogrammetry
  • Neural Networks
  • OpenGL
  • CUDA
  • Computer Vision
  • OpenCV
  • Unity Game Programming


You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round



Contact the supervisor for more information.