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Conference Paper

Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization

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Fleming,  R
Research Group Space and Body Perception, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Mohler,  BJ
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Research Group Space and Body Perception, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Black,  MJ
Max Planck Institute for Intelligent Systems, Max Planck Society;

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Breidt,  M
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Fleming, R., Mohler, B., Romero, J., Black, M., & Breidt, M. (2017). Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization. In J. Braz, N. Magnenat-Thalmann, P. Richard, L. Linsen, A. Telea, S. Battiato, et al. (Eds.), Computer Vision, Imaging and Computer Graphics: Theory and Applications - 11th International Joint Conference, VISIGRAPP 2016 (pp. 175-196). Cham, Switzerland: Springer International Publishing.


Cite as: https://hdl.handle.net/21.11116/0000-0000-C397-9
Abstract
Advances in 3D scanning technology allow us to create realistic virtual avatars from full body 3D scan data.
However, negative reactions to some realistic computer generated humans suggest that this approach might
not always provide the most appealing results. Using styles derived from existing popular character designs,
we present a novel automatic stylization technique for body shape and colour information based on a statistical
3D model of human bodies. We investigate whether such stylized body shapes result in increased perceived
appeal with two different experiments: One focuses on body shape alone, the other investigates the additional
role of surface colour and lighting. Our results consistently show that the most appealing avatar is a partially stylized one. Importantly, avatars with high stylization or no stylization at all were rated to have the least appeal. The inclusion of colour information and improvements to render quality had no significant effect on
the overall perceived appeal of the avatars, and we observe that the body shape primarily drives the change in appeal ratings. For body scans with colour information, we found that a partially stylized avatar was most effective, increasing average appeal ratings by approximately 34.