Brunel University Research Archive (BURA) >
School of Information Systems, Computing and Mathematics >
School of Information Systems, Computing and Mathematics Theses >
Please use this identifier to cite or link to this item:
|Title: ||Highly automated method for facial expression synthesis|
|Authors: ||Ersotelos, Nikolaos|
|Advisors: ||Dong, F|
|Keywords: ||Expression synthesis|
Facial video animation
Automatic facial features detection
|Publication Date: ||2010|
|Publisher: ||Brunel University, School of Information Systems, Computing and Mathematics|
|Abstract: ||The synthesis of realistic facial expressions has been an unexplored area for computer graphics scientists. Over the last three decades, several different construction methods have been formulated in order to obtain natural graphic results. Despite these advancements, though, current techniques still require costly resources, heavy user intervention and specific training and outcomes are still not completely realistic. This thesis, therefore, aims to achieve an automated synthesis that will produce realistic facial expressions at a low cost.
This thesis, proposes a highly automated approach for achieving a realistic facial
expression synthesis, which allows for enhanced performance in speed (3 minutes
processing time maximum) and quality with a minimum of user intervention. It will also demonstrate a highly technical and automated method of facial feature detection, by allowing users to obtain their desired facial expression synthesis with minimal
physical input. Moreover, it will describe a novel approach to the normalization of the
illumination settings values between source and target images, thereby allowing the
algorithm to work accurately, even in different lighting conditions.
Finally, we will present the results obtained from the proposed techniques, together with our conclusions, at the end of the paper.|
|Description: ||This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.|
|Appears in Collections:||Information Systems and Computing|
School of Information Systems, Computing and Mathematics Theses
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.