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    Generating Facial Character: A Systematic Method Accumulating Expressive Histories

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    Author
    Jofre, Ana
    Keyword
    Facial character development - simulation
    Paul Ekman
    Universal facial expressions
    Markov chain algorithm
    3D digital faces
    Blender - Open access software
    Python - Programming language
    Journal title
    Leonardo
    Date Published
    2022-04
    
    Metadata
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    URI
    https://direct.mit.edu/leon/article/55/2/149/106890/Generating-Facial-Character-A-Systematic-Method; http://hdl.handle.net/20.500.12648/7159
    Abstract
    The author presents a method to simulate facial character development by accumulating an expressive history onto a face. The model analytically combines facial features from Paul Ekman’s seven universal facial expressions using a simple Markov chain algorithm. The output is a series of 3D digital faces created in Blender with Python. The results show that systematically imprinting features from emotional expressions onto a neutral face transforms it into one with distinct character. This method could be applied to creative works that depend on character creation, ranging from figurative sculpture to game design, and allows the creator to incorporate chance into the creative process. The author demonstrates the method’s application to sculpture with ceramic casts of generated faces.
    Citation
    Jofre, Ana. 2022. “Generating Facial Character: A Systematic Method Accumulating Expressive Histories.” Leonardo 55 (2). https://doi.org/10.1162/leon_a_02138.
    DOI
    https://doi.org/10.1162/leon_a_02138
    ae974a485f413a2113503eed53cd6c53
    https://doi.org/10.1162/leon_a_02138
    Scopus Count
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    SUNY Polytechnic Institute Faculty Publications

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