Representation of human faces
Author(s) / Creator(s)
Vetter, Thomas
Troje, Nikolaus F.
Abstract / Description
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 straitforward, 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 simple linear classifier can achieve for sex classification.
Keyword(s)
Gesicht Biometrie Optischer Fluss Gesicht Biometrie Optischer Fluss pixel-based representations human faces pixel-by-pixel correspondencePersistent Identifier
Date of first publication
1996
Citation
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TR_041.pdfAdobe PDF - 79.23KBMD5: b2bb87fc55776ffc8da7b4c85f2f0a71
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There are no other versions of this object.
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Author(s) / Creator(s)Vetter, Thomas
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Author(s) / Creator(s)Troje, Nikolaus F.
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PsychArchives acquisition timestamp2022-11-17T11:03:33Z
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Made available on2007-03-14
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Made available on2015-12-01T10:32:05Z
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Made available on2022-11-17T11:03:33Z
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Date of first publication1996
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Abstract / DescriptionSeveral 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 straitforward, 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 simple linear classifier can achieve for sex classification.en
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Persistent Identifierhttps://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bsz:291-psydok-9315
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Persistent Identifierhttps://hdl.handle.net/20.500.11780/1046
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.9000
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Language of contenteng
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Keyword(s)Gesichtde
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Keyword(s)Biometriede
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Keyword(s)Optischer Flussde
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Keyword(s)Gesichtde
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Keyword(s)Biometriede
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Keyword(s)Optischer Flussde
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Keyword(s)pixel-based representationsen
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Keyword(s)human facesen
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Keyword(s)pixel-by-pixel correspondenceen
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Dewey Decimal Classification number(s)150
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TitleRepresentation of human facesen
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DRO typereport
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Visible tag(s)PsyDok