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  3D-reconstruction of faces: Combining stereo with class-based knowledge

Wallraven, C., Blanz, V., & Vetter, T. (1999). 3D-reconstruction of faces: Combining stereo with class-based knowledge. In W. Förstner, J. Buhmann, A. Faber, & P. Faber (Eds.), Mustererkennung 1999: 21. DAGM-Symposium Bonn, 15.–17. September 1999 (pp. 405-412). Berlin, Germany: Springer.

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 Creators:
Wallraven, C1, 2, Author           
Blanz, V1, 2, Author           
Vetter, T1, 2, Author           
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              
2Max Planck Institute for Biological Cybernetics, Max Planck Society, Spemannstrasse 38, 72076 Tübingen, DE, ou_1497794              

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 Abstract: The recovery of the threedimensional structure of faces with conventional stereo methods still proves difficult.
In this paper we introduce a higher order constraint based on linear object classes, which supplies a standard stereo algorithm with prior knowledge of the general structure of faces. This constraint has been learned by exploiting the similarities between 200 faces in a database and is represented in a morphable face model. This combined approach has been tested and compared against an already
existing method for estimating depth information using only prior knowledge and against the standard stereo algorithm.

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 Dates: 1999-09
 Publication Status: Issued
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 Rev. Type: -
 Identifiers: BibTex Citekey: 223
DOI: 10.1007/978-3-642-60243-6_47
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Title: Mustererkennung 1999: 21. DAGM-Symposium
Place of Event: Bonn, Germany
Start-/End Date: 1999-09-15 - 1999-09-17

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Title: Mustererkennung 1999: 21. DAGM-Symposium Bonn, 15.–17. September 1999
Source Genre: Proceedings
 Creator(s):
Förstner, W, Editor
Buhmann, JM, Editor
Faber, A, Editor
Faber, P, Editor
Affiliations:
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 405 - 412 Identifier: ISBN: 3-540-66381-9

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Title: Informatik aktuell
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Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: -