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  Recognizing faces from a new viewpoint

Vetter, T. (1997). Recognizing faces from a new viewpoint. In 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 143-146). Los Alamitos, CA, USA: IEEE Computer Society.

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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 recognizing faces from new viewpoints. From a single 2D image of a face synthetic images from new viewpoints are generated and compared to stored views. 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. The performance of the technique is tested on a data set of 200 faces on known orientation for rotations up to 90°.

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 Dates: 1997-04
 Publication Status: Published in print
 Pages: -
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 Rev. Type: -
 Identifiers: DOI: 10.1109/ICASSP.1997.599575
BibTex Citekey: 384
 Degree: -

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Title: IEEE International Conference of Acoustics, Speech, and Signal Processing (ICASSP 1997)
Place of Event: München, Germany
Start-/End Date: 1997-04-21 - 1997-04-24

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Title: 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing
Source Genre: Proceedings
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Publ. Info: Los Alamitos, CA, USA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 143 - 146 Identifier: ISBN: 0-8186-7919-0