Fitting clothes for customers remains the top issue in apparel industry, particular in clothing online shopping. The objective of this project is to push the state of the art in specific areas of computer vision related to 3D point cloud processing in order to develop the building blocks of an online clothing recommendation system that will be marketed to clients in the fashion industry looking to transition into the digital world or improve the value generation potential of online marketplaces. For this, we will develop novel ways of processing human body scans incorporating machine learning using deep neural network to generate (1) highly accurate clothing size prediction for different fashion brands, and (2) highly accurate human fitting avatars and virtual clothing assets that can be retargeted to human avatars.

PLEASE NOTE: This is a 4-year collaborative studentship which requires the candi-date to spend two full years based at Coventry University (UK) and two years based at an A*Star Research Institute (Singapore). The usual pattern is first and fourth years at Coventry and second and third year at an A*Star Research Insti-tute.

Coventry University and A*Star will only cover the stipend up to a maximum of two years each. Changes to the mobility pattern will only be considered under exceptional circumstances and can impact on the duration of the course and level of funding available. Should a candidate request any changes to mobility which results in the period spent in either the UK or Singapore extending beyond two years then the candidate is responsible for covering the stipend for that period.

Funding

Tuition fees, bursary (£18,622 p/a) and additional allowances.

Benefits

The successful candidate will receive comprehensive research training including technical, personal and professional skills.

All researchers at Coventry University (from PhD to Professor) are part of the Doctoral College and Centre for Research Capability and Development, which provides support with high-quality training and career development activities.

Candidate specification

Entry criteria for applicants to PhD

A bachelor’s (honours) degree in a relevant discipline/subject area with a minimum classification of 2:1 and a minimum mark of 60% in the project element (or equivalent), or an equivalent award from an overseas institution.
PLU
the potential to engage in innovative research and to complete the PhD within 4 years
An adequate proficiency in English must be demonstrated by applicants whose first language is not English. The general requirement is a minimum overall IELTS Academic score of 7.0 with a minimum of 6.5 in each of the four sections, or the TOEFL iBT test with a minimum overall score of 95 with a minimum of 21 in each of the four sections.

Entry criteria for applicants to MSc/MA by Research

Minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the project element or equivalent with a minimum 60% overall module average

For further details please visit: https://www.coventry.ac.uk/research/research-opportunities/research-students/making-an-application/research-entry-criteria/