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Conference Paper

Stylization of Virtual Humans

MPS-Authors
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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;

/persons/resource/persons83839

Bülthoff,  HH
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;
Project group: Cybernetics Approach to Perception & Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons214722

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

/persons/resource/persons84088

Mohler,  B
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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VHCIE-2018-Breidt.pdf
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Citation

Breidt, M., Bülthoff, H., Fleming, R., & Mohler, B. (2018). Stylization of Virtual Humans. In Workshop Virtual Humans and Crowds for Immersive Environments at IEEE VR 2018 (VHCIE 2018) (pp. 1-3).


Cite as: http://hdl.handle.net/21.11116/0000-0001-7D5E-B
Abstract
The growing importance of Virtual Reality (VR) in recent years has put emphasis on the topic of avatars: Especially for shared VR experiences, it is important to provide a visual representation of the user. An important question is: What will these avatars look like? Even though VR offers great artistic freedom in the design of virtual avatars, serious applications of social VR will most likely prefer a design close to the real appearance of humans. For this, a natural choice is the derivation of an avatar from the true appearance of a human person, using photographs or 3D scans, for example. While this will result in a close resemblance to the real person, achieving ultimate photo-realism is challenging, especially considering the typically uncontrolled recording conditions present in normal situ- ations. Human avatars produced from such digital body captures are likely to be clearly distinguishable from photographs, which might result in negative reactions from observers due to conflicting cues. Instead of fighting the uphill battle to achieve ultimate photo-realism, we propose a deliberate deviation from realism by means of automatic stylization of such body captures. Here we recap previous research on this topic by us and others, summarize experimental results from an automatic stylization system, and discuss potential applications and future work.