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  Face Recognition across Large Viewpoint Changes

O'Toole, A., Bülthoff, H., Troje, N., & Vetter, T. (1995). Face Recognition across Large Viewpoint Changes. In International Workshop on Automatic Face- and Gesture Recognition (pp. 326-331). Zürich, Switzerland: University of Zurich Department of Computer Science Multimedia Laboratory.

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 Creators:
O'Toole, AJ1, Author           
Bülthoff, HH1, Author           
Troje, NF1, Author           
Vetter, T1, Author           
Bichsel, M., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: We describe a computational model of face recog­ nition that makes use of the overlapping texture and shape information visible in different views of faces. The model operates on view dependent data from three­dimensional laser scans of human heads, which were registered onto a three­dimensional head model. We show that the overlapping visible regions of heads can support accurate recognition even with pose dif­ ferences of as much as 90 degrees (full face to profile view) between the learning and testing view.

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 Dates: 1995-06
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: 669
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Title: International Workshop on Automatic Face- and Gesture Recognition
Place of Event: Zürich, Switzerland
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Title: International Workshop on Automatic Face- and Gesture Recognition
Source Genre: Proceedings
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Publ. Info: Zürich, Switzerland : University of Zurich Department of Computer Science Multimedia Laboratory
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 326 - 331 Identifier: -