Course aims.

The course is aimed at introducing the AURA pattern match technology and Cybula´s FaceEnforce 3D image capture and face recognition methods.

The AURA methods are based on neural networks and can be used for fast pattern matching on very large datasets. The methods are based on a simple binary neural networkknown as a Correlation Matrix Memory. The memory is used to store example data to be matched. The AURA methods define a set of pre-processing methods that can be used to take different data types and recognise the contents. The pre-processors are defined for text, signals and graphs. The last of these is of most interest here as it allows 3D image data to be analysed. A graph is a set of points that are connected by relations. In the context of a 3D image, the set of points could be landmarks and the relations could be the distance between the points. Thus the AURA graph matcher may be used to recognise objects specified by such data.

Cybula have for many years been developing and marketing a 3D face recognition system,FaceEnforce. The system is used to recognise 3D images of faced taken with a 3D camera.The camera allows capture of an image in about 0.5-1.5 seconds that is sufficient for recognition. For higher accuracy images a longer time will be needed. The camera mayused to capture any type of data within reason.

The course will cover;

Overview of biometric methods.
Overview of the Cybula FaceEnforce system.
Use and function of the Cybula 3D camera.
Use and function of the Cybula face recognition software.

Introduction to pattern recognition.
Overview of the AURA methods.
How the graph matcher works and can be applied.
Implementation of applications using the AURA graph matcher.

Open discussion of user applications with the Cybula team.

We will provide time to discuss, in detail, how Cybula technology may be used, along side
other Evan software, to solve practical problems. We will cover each of these in an open
discussion with the group. We intend 3 applications to be discussed. Please let us know if
you would like your application discussed and we will contact you to set this up. We hope
that we will be able to look at data during these sessions.

Prerequisites.
You will get more from the course if you know Linux and C++. However, this is not
essential. We expect you to have a scientific training and a degree in a science based
subject.

 Structure. 
 The workshop will cover two days and be run on the York University main campus. There
 will be a social event in the evening of the first day. The course will start at 9.30 on the
 first day and be complete by 4:30pm on the second day.

Accommodation.
The candidates are expected to book there own accommodation. Attached are some recommended hotels.

time table_aura_workshop

UNIVERSITY OF YORK

Accommodation Office

http://www.york.ac.uk/admin/accom/aostaff.htm

LOCAL GUEST HOUSES

Booking information: