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Modelling, classification and synthesis of facial expressions
Reilly, Jane; Ghent, John; McDonald, John
The field of computer vision endeavours to develop automatic approaches to the interpretation of images from the real world. Over the past number of decades researchers within this field have created systems specifically for the automatic analysis of facial expression. The most successful of these approaches draw on the tools from behavioural science. In this chapter we examine facial expression analysis from both a behavioural science and a computer vision perspective. First we will provide details of the principal approach used in behavioural science to analyze facial expressions. This will include an overview of the evolution of facial expression analysis, where we introduce the field of facial expression analysis with Darwin’s initial findings (Darwin, 1872). We then go on to show how his findings were confirmed nearly 100 years later by Ekman et al. (Ekman et al., 1969). Following on from this we provide details of recent works investigating the appearance and dynamics of facial expressions.
Keyword(s): Modelling; classification; synthesis; facial expressions; computer vision
Publication Date:
2008
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Reilly, Jane and Ghent, John and McDonald, John (2008) Modelling, classification and synthesis of facial expressions. In: Affective Computing. InTechOpen, pp. 107-132. ISBN 9783902613233
Publisher(s): InTechOpen
File Format(s): other
Related Link(s): http://mural.maynoothuniversity.ie/8256/1/JM-Modelling-2008.pdf
First Indexed: 2020-04-02 06:31:28 Last Updated: 2020-04-02 06:31:28