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Automatic face description in computational photography and videography

Department of Electronic Engineering

About the Project

The group has recently filed a patent on a method for estimating the attributes of faces detected in pictures. These attributes include the location and orientation and facial "landmarks", such as the eyes, nose tip and chin tip, along with the age, sex, race and facial expression of the person. This project’s aim is to apply these methods to computational photography, linking with other work in the group on shake removal and high-dynamic-range imaging. The project will use information about facial position, pose, eye gaze and expression to control enhancement and restoration algorithms. When applied online within the camera, this will aid in capturing stills of highly-dynamic scenes of people (potentially with application to surveillance as well as photography). When applied offline, it will assist with automatic portrait touch-up and the restoration of old photos and films.

Entry requirements:
Candidates should have (or expect to obtain) a minimum of a UK upper second class honours degree (2.1) or equivalent in Electronic and Electrical Engineering, Physics, Computer Science, Mathematics, Music Technology or a closely related subject.

How to apply:
Applicants should apply via the University’s online application system at Please read the application guidance first so that you understand the various steps in the application process.

Funding Notes

This is a self-funded project and you will need to have sufficient funds in place (eg from scholarships, personal funds and/or other sources) to cover the tuition fees and living expenses for the duration of the research degree programme. Please check the Electronic Engineering website View Website for details about funding opportunities at York.

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