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Learning novel views to a single face image

  • Thomas Vetter
Poster Presentations 2 Image Processing Applications
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1112)

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.

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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Thomas Vetter
    • 1
  1. 1.Max-Planck-Institut für biologische KybernetikTübingenGermany

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