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Representations of human faces

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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;

/persons/resource/persons84280

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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MPIK-TR-41.pdf
(Publisher version), 78KB

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Citation

Troje, N., & Vetter, T.(1996). Representations of human faces (41). Tübingen, Germany: Max Planck Institute for Biological Cybernetics.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-EB0E-2
Abstract
Several models for parameterized face representations have been proposed in the last years. A simple coding scheme treats the image of a face as a long vector with each entry coding for the intensity of one single pixel in the image (e.g. Sirovich Kirby 1987). Although simple and straightforward, such pixel-based representations have several disadvantages. We propose a representation for images of faces that separates texture and 2D shape by exploiting pixel-by-pixel correspondence between the images. The advantages of this representation compared to pixel-based representations are demonstrated by means of the quality of low-dimensional reconstructions derived from principal component analysis and by means of the performance that a simple linear classifier can achieve for sex classification.