Difference between revisions of "Projects:2017s1-100 Face Recognition using 3D Data"
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| − | This project seeks to develop a system that is capable of recognising faces captured using commercial off-the-shelf devices. | + | This project seeks to develop a system that is capable of recognising faces captured using commercial off-the-shelf devices. It will be able to capture depth imagery of faces and align them to a common facial pose, before using them to perform recognition. The project will involve elements of literature survey (both sensor hardware and algorithmic techniques), software development (in Matlab), data collection, and performance comparison with existing approaches. |
= Objectives = | = Objectives = | ||
Revision as of 15:02, 9 August 2017
Introduction
This project seeks to develop a system that is capable of recognising faces captured using commercial off-the-shelf devices. It will be able to capture depth imagery of faces and align them to a common facial pose, before using them to perform recognition. The project will involve elements of literature survey (both sensor hardware and algorithmic techniques), software development (in Matlab), data collection, and performance comparison with existing approaches.
Objectives
Develop a system that is capable of recognizing faces captured using commercial off-the-shelf devices such as the Xbox Kinect.
- Recovery of 3D data from polarimetric imagery
- Recovery of 3D data from Xbox Kinect and alignment to common pose
- Facial recognition from 3D models
Project Team
Jesse Willsmore
Orbille Piol
Michael Sadler
Supervisors
Dr Brian Ng
Dr David Booth (DST Group)
