Literature DB >> 3572578

Low-dimensional procedure for the characterization of human faces.

L Sirovich, M Kirby.   

Abstract

A method is presented for the representation of (pictures of) faces. Within a specified framework the representation is ideal. This results in the characterization of a face, to within an error bound, by a relatively low-dimensional vector. The method is illustrated in detail by the use of an ensemble of pictures taken for this purpose.

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Year:  1987        PMID： 3572578     DOI： 10.1364/josaa.4.000519

Source DB:  PubMed          Journal:  J Opt Soc Am A        ISSN： 0740-3232            Impact factor:   2.129


  38 in total

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2.  Multi-dimensional machine learning approaches for fruit shape phenotyping in strawberry.

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4.  A parameterized digital 3D model of the Rhesus macaque face for investigating the visual processing of social cues.

Authors:  Aidan P Murphy; David A Leopold
Journal:  J Neurosci Methods       Date:  2019-06-20       Impact factor: 2.390

5.  Symmetry, probability, and recognition in face space.

Authors:  Lawrence Sirovich; Marsha Meytlis
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-13       Impact factor: 11.205

6.  Automatic localization of anatomical point landmarks for brain image processing algorithms.

Authors:  Scott C Neu; Arthur W Toga
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7.  Real-time restoration of white-light confocal microscope optical sections.

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Journal:  J Electron Imaging       Date:  2007-08-06       Impact factor: 0.945

8.  The perception of face gender: the role of stimulus structure in recognition and classification.

Authors:  A J O'Toole; K A Deffenbacher; D Valentin; K McKee; D Huff; H Abdi
Journal:  Mem Cognit       Date:  1998-01

9.  Deciphering the Face.

Authors:  Aleix M Martinez
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2011

10.  Mapping and manipulating facial expression.

Authors:  Barry-John Theobald; Iain Matthews; Michael Mangini; Jeffrey R Spies; Timothy R Brick; Jeffrey F Cohn; Steven M Boker
Journal:  Lang Speech       Date:  2009       Impact factor: 1.500
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