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Separation of texture and two-dimensional shape in images of human faces

MPG-Autoren
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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;

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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;

Externe Ressourcen

https://link.springer.com/content/pdf/10.1007%2F978-3-642-79980-8_14.pdf
(Verlagsversion)

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Zitation

Vetter, T., & Troje, N. (1995). Separation of texture and two-dimensional shape in images of human faces. In G. Sagerer, S. Posch, & F. Kummert (Eds.), Mustererkennung 1995: Verstehen akustischer und visueller Informationen (pp. 118-125). Berlin, Germany: Springer.


Zitierlink: https://hdl.handle.net/11858/00-001M-0000-0013-EC5C-A
Zusammenfassung
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 separation was 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. Pictures of faces along the principal axes of a small data set of 50 faces are shown. We also show face reconstructions based on this small example set.