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  Learning novel views to a single face image

Vetter, T. (1996). Learning novel views to a single face image. ICANN96, 715-719.

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 Creators:
Vetter, T1, Author           
der Malsburg, von, Editor
V., Editor
von Seelen, W., Editor
Vorbrüggen, J.C., Editor
Sendhoff, B., Editor
Affiliations:
1Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497797              

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 Abstract: A new technique is described for synthesizing images of faces from new viewpoints, when only a single 2D image 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 degree based on a training set of 100 faces are shown.

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 Dates: 1996-07
 Publication Status: Issued
 Pages: -
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Title: 6th International Conference on Artificial Neural Networks
Place of Event: Bochum, Germany
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Title: ICANN96
Source Genre: Journal
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Publ. Info: Berlin, Germany : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 715 - 719 Identifier: -