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  Appealing female avatars from 3D body scans: Perceptual effects of stylization

Fleming, R., Mohler, B., Romero, J., Black, M. J., & Breidt, M. (2016). Appealing female avatars from 3D body scans: Perceptual effects of stylization. In N. Magnenat-Thalmann, P. Richard, L. Linsen, A. Telea, S. Battiato, F. Imai, et al. (Eds.), 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016): GRAPP 2016 (pp. 335-345). Setúbal, Portugal: Scitepress.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0000-C732-7 Version Permalink: http://hdl.handle.net/21.11116/0000-0001-1CBD-C
Genre: Conference Paper

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http://dl.acm.org/citation.cfm?id=3021639 (Publisher version)
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 Creators:
Fleming, R1, 2, 3, Author              
Mohler, B2, 3, Author              
Romero, Javier4, Author              
Black, Michael J.4, Author              
Breidt, M1, 3, Author              
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Research Group Space and Body Perception, Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_2528693              
3Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              
4Dept. Perceiving Systems, Max Planck Institute for Intelligent Systems, Max Planck Society, ou_1497642              

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 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%.

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 Dates: 2016-02
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: DOI: 10.5220/0005683903330343
 Degree: -

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Title: 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016): GRAPP 2016
Place of Event: Roma, Italy
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Title: 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016): GRAPP 2016
Source Genre: Proceedings
 Creator(s):
Magnenat-Thalmann, N, Editor
Richard, P, Editor
Linsen, L, Editor
Telea, A, Editor
Battiato, S, Editor
Imai, F, Editor
Braz, J, Editor
Affiliations:
-
Publ. Info: Setúbal, Portugal : Scitepress
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 335 - 345 Identifier: ISBN: 978-989-758-175-5