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

Vetter, T; Troje, NF

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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;

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

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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.