Abstract
FACS (Facial Action Coding System) was proposed by the psychologists, Paul Ekman and Wallace V. Friesen, to describe a facial expression in terms of 46 muscular movements, called AUs (Action Units). Here, a mesh model of a human face is defined and each action unit deforms the mesh model according to the corresponding movements specified in the FACS system. The mesh model is deformed to create a facial expression by activating several action units with their intensity values. In this paper, we propose a method using GA (Genetic Algorithm), known widely as a function optimizer, to extract the components of an arbitrary facial expression automatically where the expression may be input by a 3D measuring device or a 2D image. By using these components, we can construct more realistic facial expressions tailored to individual characteristics.
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Ko, H., Kim, JH., Kim, J. (1995). Searching for Facial Expression by Genetic Algorithm. In: Göbel, M. (eds) Virtual Environments ’95. Eurographics. Springer, Vienna. https://doi.org/10.1007/978-3-7091-9433-1_8
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DOI: https://doi.org/10.1007/978-3-7091-9433-1_8
Publisher Name: Springer, Vienna
Print ISBN: 978-3-211-82737-6
Online ISBN: 978-3-7091-9433-1
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