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  Learning novel views to a single face image

Vetter, T. (1996). Learning novel views to a single face image. In Second International Conference on Automatic Face and Gesture Recognition (pp. 22-27). Los Alamitos, CA, USA: IEEE. doi:10.1109/AFGR.1996.557239.

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 Creators:
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: A new technique is described for synthesizing images of faces from new viewpoints, when only a single 2D image from a known viewpoint is available. A novel 2D image of a face can be computed without knowledge about the 3D structure of the head. The technique draws on prior knowledge of faces based on example images of other faces seen in different poses and on a single generic 3D model of a human head. The example images are used to learn a pose-invariant shape and texture description of a new face. The 3D model is used to solve the correspondence problem between images showing faces in different poses. Examples of synthetic "rotations" over 24/spl deg/ based on a training set of 100 faces are shown.

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 Dates: 2002-081996-10
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1109/AFGR.1996.557239
 Degree: -

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Title: Second International Conference on Automatic Face and Gesture Recognition (FG 1996)
Place of Event: Killington, VT, USA
Start-/End Date: 1996-10-14 - 1996-10-16

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Title: Second International Conference on Automatic Face and Gesture Recognition
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA, USA : IEEE
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 22 - 27 Identifier: ISBN: 0-8186-7713-9