Title: AgeRegression: rejuvenating 3D-facial scans
Authors: Legde, Katharina
Castillo, Susana
Cunningham, Douglas W.
Citation: WSCG '2018: short communications proceedings: The 26th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic May 28 - June 1 2018, p. 190-199.
Issue Date: 2018
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
ISBN: 978-80-86943-41-1
ISSN: 2464-4617
Keywords: věková regrese;kardioidní transformace;modely obličeje
Keywords in different language: age regression;cardioidal transformation;face models
Abstract: The majority of virtual agents have adult bodies. There are, however, a number of reasons for using younger avatars. For example, an adult interface agent usually leads users to expect adult-level communicational and social skills. As a result, users tend to be rather intolerant when the interface agent makes obvious mistakes (e.g., incorrect grammar) or uses inappropriate behavior (e.g., looking away from the interlocutor). Since computer social-skills are still under-developed, it seems reasonable to use a body model that reflects this: child avatars. Unfortunately, the use of database-driven techniques for creating a variable-aged animation system would require a very large number of scans of children at different ages, making such a system impractical for technical and ethical reasons. As an alternative, this paper develops and validates a method for synthetically and systematically altering the apparent age of a virtual character. The here proposed technique is able to create younger and older versions of a facial scan and guarantees that the resulting meshes can be animated. Starting with a three-dimensional, adult facial scan, we use a physiologically-inspired, trigonometric polynomial to age-regress the model to a desired age. Quantitative measurements show that the technique can reconstruct the correct anthropometric proportions of 2-10 year-old children. A perceptual experiment provides an initial mapping of the technique’s parameters onto the perceived age and realism.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2018: Short Papers Proceedings

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