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3D object classification

  • Full or part time
    Dr T G Kalganova
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

With the current development of 3D modeling, and 3D printing, the next type of information representation of objects is 3D form. The majority of existing methods of object classification are based on applying images to deep learning approaches. With the development of the 3D representation across internet, there will be a need for 3D object classification. This can be achieved by development of new 3D deep learning approaches that will be able to handle 3D objects and 3D filters instead of image-based information.
The potential applicant should have good skills in analytical thinking, object-oriented programming, 3D modeling and the foundational knowledge of AI techniques is desired.

Funding Notes

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: View Website. Recently the UK Government made available the Doctoral Student Loans of up to £25,000 for UK and EU students and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.)

How good is research at Brunel University London in General Engineering?

FTE Category A staff submitted: 63.45

Research output data provided by the Research Excellence Framework (REF)

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