CS Colloquium Series @ UCY

Department of Computer Science - University of Cyprus

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Colloquium Coordinator: Demetris Zeinalipour

Colloquium: Neural Network Applications for Face Images Interpretation and Reconstruction, Dr. Chrisina Draganova (University of East London, UK), Thursday, March 12th, 2009, 13:30 - 14:45 EET.

The Department of Computer Science at the University of Cyprus cordially invites you to the Colloquium entitled:

Neural Network Applications for Face Images Interpretation and Reconstruction


Speaker: Dr. Chrisina Draganova
Affiliation: University of East London, UK
Category: Colloquium
Location: Room 148, Faculty of Pure and Applied Sciences (FST-01), 1 University Avenue, 2109 Nicosia, Cyprus (directions)
Date: Thursday, March 12th, 2009
Time: 13:30 - 14:45 EET
Host: Chris Christodoulou (cchrist AT ucy.ac.cy)
URL: https://www.cs.ucy.ac.cy/colloquium/index.php?speaker=cs.ucy.2009.draganova

In this presentation we discuss the use of Neural Network based methods for three applications related to processing facial information. The first application aims to design neural network based classifiers that accept low dimensional representations of unseen images and produce an estimate of the age of the person in the corresponding face images. Supervised and unsupervised neural networks are tested. The results are compared with results obtained with other existing classifiers. Finally a comparison with human performance in the task of age estimation is presented. The second application investigates the use of neural network based methods for learning the relationship between certain facial attributes and a coded representation of face images. We then use the resulting neural networks for the synthesis of face images with specific attributes.The third application addresses the problem of restoring the overall shape of faces given only the shape presentation of a small part of the face. The shape of a face is defined by a series of landmarks located on the face outline and on the outline of different facial features. We use of a number of methods including a method that utilizes a Hopfield neural network, a method that uses Multi-Layer Perceptron (MLP) neural network, a novel technique which combines Hopfield and MLP together, and a method based on associative search. These techniques could form the basis for developing face image processing systems capable of dealing with occluded faces.

Short Bio:
Chrisina has an MSc degree in Computing Science from Birkbeck College, University of London, an MSc degree in Mathematics and Informatics, and a Ph.D. degree in Applied Mathematics from Sofia University, Bulgaria. She has worked in a number of universities in the UK and Bulgaria including London Metropolitan University, South-Bank University, Kingston University, University College London and Veliko Turnovo University. At present, she is a Senior Lecturer at University of East London. Her research interests over the years have been in the areas of approximation and interpolation with spline functions, neural network applications and Internet Technologies.

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Sponsor: The CS Colloquium Series is supported by a generous donation from Microsoft