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Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/4524

Title: Highly automated method for facial expression synthesis
Authors: Ersotelos, Nikolaos
Advisors: Dong, F
Angelides, MC
Keywords: Expression synthesis
Facial deformation
Illumination
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.
URI: http://bura.brunel.ac.uk/handle/2438/4524
Appears in Collections:Computer Science
Dept of Computer Science Theses

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