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A separated linear shape and texture space for modeling two-dimensional images of human faces

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Vetter,  T
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

/persons/resource/persons84263

Troje,  NF
Department Human Perception, Cognition and Action, Max Planck Institute for Biological Cybernetics, Max Planck Society;
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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MPIK-TR-15.pdf
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Citation

Vetter, T., & Troje, N.(1995). A separated linear shape and texture space for modeling two-dimensional images of human faces (15). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0013-ECA2-C
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
separations were 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.
Images of faces along the principal axes of a small data set of 50
faces are shown. We also reconstruct images of faces using the 49
remaining faces in our data set. These reconstructions are the
projections of an image into the space spanned by the textures
and shapes of the other faces.