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  Multi-viewpoint video capture for facial perception research

Kleiner, M., Wallraven, C., Breidt, M., Cunningham, D., & Bülthoff, H. (2004). Multi-viewpoint video capture for facial perception research. In Workshop on Modelling and Motion Capture Techniques for Virtual Environments (CAPTECH 2004) (pp. 55-60).

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D749-A Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0013-D74A-8
Genre: Conference Paper

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 Creators:
Kleiner, M1, Author              
Wallraven, C1, Author              
Breidt, M1, Author              
Cunningham, DW1, Author              
Bülthoff, HH1, Author              
Thalmann M. D. Thalmann, N., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: In order to produce realistic-looking avatars, computer graphics has traditionally relied solely on physical realism. Research on cognitive aspects of face perception, however, can provide insights into how to produce believable and recognizable faces. In this paper, we describe a method for automatically manipulating video recordings of faces. The technique involves the use of a custom-built multi-viewpoint video capture system in combination with head motion tracking and a detailed 3D head shape model. We illustrate how the technique can be employed in studies on dynamic facial expression perception by summarizing the results of two psychophysical studies which provide suggestions for creating recognizable facial expressions.

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 Dates: 2004-12
 Publication Status: Published in print
 Pages: -
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 Rev. Method: -
 Identifiers: BibTex Citekey: 3058
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Title: Workshop on Modelling and Motion Capture Techniques for Virtual Environments (CAPTECH 2004)
Place of Event: Zermatt, Switzerland
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Title: Workshop on Modelling and Motion Capture Techniques for Virtual Environments (CAPTECH 2004)
Source Genre: Proceedings
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Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 55 - 60 Identifier: -