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  Separation of texture and two-dimensional shape in images of human faces

Vetter, T., & Troje, N. (1995). Separation of texture and two-dimensional shape in images of human faces. In G. Sagerer, S. Posch, & F. Kummert (Eds.), Mustererkennung 1995: Verstehen akustischer und visueller Informationen (pp. 118-125). Berlin, Germany: Springer.

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 Creators:
Vetter, T1, 2, Author           
Troje, NF1, 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: Human faces differ in shape and texture. This paper describes a representation of grey-level images of human faces based on an automated separation of two- dimensional shape and texture. The separation was done using the point correspondence between the different images, which was established through algorithms known from optical flow computation. A linear description of the separated texture and shape spaces allows a smooth modeling of human faces. Pictures of faces along the principal axes of a small data set of 50 faces are shown. We also show face reconstructions based on this small example set.

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 Dates: 1995-09
 Publication Status: Issued
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 Identifiers: BibTex Citekey: 1894
DOI: 10.1007/978-3-642-79980-8_14
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Title: 17. DAGM-Symposium
Place of Event: Bielefeld, Germany
Start-/End Date: 1995-09-13 - 1995-09-15

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Title: Mustererkennung 1995: Verstehen akustischer und visueller Informationen
Source Genre: Proceedings
 Creator(s):
Sagerer, G, Editor
Posch, S, Editor
Kummert, F, Editor
Affiliations:
-
Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 118 - 125 Identifier: ISBN: 3-540-60293-3

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Title: Informatik aktuell
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